[2021] Free DP-200 Exam Dumps to Pass Exam Easily
DP-200 Exam Dumps, DP-200 Practice Test Questions
What is the duration of the DP-200 Exam
- Format: Multiple choices, multiple answers
- Passing Score: 700/1000
- Number of Questions: 45-60
- Length of Examination: 150 minutes
For more info visit:
Microsoft DP-200 Exam Reference
NEW QUESTION 43
You need to receive an alert when Azure SQL Data Warehouse consumes the maximum allotted resources.
Which resource type and signal should you use to create the alert in Azure Monitor? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
References:
https://docs.microsoft.com/en-us/azure/sql-database/sql-database-insights-alerts-portal
NEW QUESTION 44
You implement an event processing solution using Microsoft Azure Stream Analytics.
The solution must meet the following requirements:
* Ingest data from Blob storage
* Analyze data in real time
* Store processed data in Azure Cosmos DB
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation:
Step 1: Configure Blob storage as input; select items with the TIMESTAMP BY clause The default timestamp of Blob storage events in Stream Analytics is the timestamp that the blob was last modified, which is BlobLastModifiedUtcTime. To process the data as a stream using a timestamp in the event payload, you must use the TIMESTAMP BY keyword.
Example:
The following is a TIMESTAMP BY example which uses the EntryTime column as the application time for events:
SELECT TollId, EntryTime AS VehicleEntryTime, LicensePlate, State, Make, Model, VehicleType, VehicleWeight, Toll, Tag FROM TollTagEntry TIMESTAMP BY EntryTime Step 2: Set up cosmos DB as the output Creating Cosmos DB as an output in Stream Analytics generates a prompt for information as seen below.
Step 3: Create a query statement with the SELECT INTO statement.
References:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-define-inputs
NEW QUESTION 45
Each day, company plans to store hundreds of files in Azure Blob Storage and Azure Data Lake Storage.
The company uses the parquet format.
You must develop a pipeline that meets the following requirements:
Process data every six hours
Offer interactive data analysis capabilities
Offer the ability to process data using solid-state drive (SSD) caching
Use Directed Acyclic Graph(DAG) processing mechanisms
Provide support for REST API calls to monitor processes
Provide native support for Python
Integrate with Microsoft Power BI
You need to select the appropriate data technology to implement the pipeline.
Which data technology should you implement?
- A. HDInsight Spark cluster
- B. Azure Stream Analytics
- C. Azure SQL Data Warehouse
- D. HDInsight Apache Hadoop cluster using MapReduce
- E. HDInsight Apache Storm cluster
Answer: E
Explanation:
Explanation/Reference:
Explanation:
Storm runs topologies instead of the Apache Hadoop MapReduce jobs that you might be familiar with.
Storm topologies are composed of multiple components that are arranged in a directed acyclic graph (DAG). Data flows between the components in the graph. Each component consumes one or more data streams, and can optionally emit one or more streams.
Python can be used to develop Storm components.
References:
https://docs.microsoft.com/en-us/azure/hdinsight/storm/apache-storm-overview
NEW QUESTION 46
You have an Azure SQL data warehouse.
Using PolyBase, you create table named [Ext].[Items] to query Parquet files stored in Azure Data Lake Storage Gen2 without importing the data to the data warehouse.
The external table has three columns.
You discover that the Parquet files have a fourth column named ItemID.
Which command should you run to add the ItemID column to the external table?
- A. Option B
- B. Option A
- C. Option D
References:
https://docs.microsoft.com/en-us/sql/t-sql/statements/create-external-table-transact-sql - D. Option C
Answer: B
NEW QUESTION 47
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this scenario, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a container named Sales in an Azure Cosmos DB database. Sales has 120 GB of data. Each entry in Sales has the following structure.
The partition key is set to the OrderId attribute.
Users report that when they perform queries that retrieve data by ProductName, the queries take longer than expected to complete.
You need to reduce the amount of time it takes to execute the problematic queries.
Solution: You create a lookup collection that uses ProductName as a partition key and OrderId as a value.
Does this meet the goal?
- A. No
- B. Yes
Answer: B
Explanation:
Explanation
One option is to have a lookup collection "ProductName" for the mapping of "ProductName" to "OrderId".
References:
https://azure.microsoft.com/sv-se/blog/azure-cosmos-db-partitioning-design-patterns-part-1/
NEW QUESTION 48
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it As a result, these questions will not appear in the review screen.
A company uses Azure Data Lake Gen 1 Storage to store big data related to consumer behavior.
You need to implement logging.
Solution: Configure Azure Data Late Storage diagnostics to store logs and metrics in a storage account.
Does the solution meet the goal?
- A. No
- B. Yes
Answer: B
Explanation:
Explanation
From the Azure Storage account that contains log data, open the Azure Storage account blade associated with Data Lake Storage Gen1 for logging, and then click Blobs. The Blob service blade lists two containers.
References:
https://docs.microsoft.com/en-us/azure/data-lake-store/data-lake-store-diagnostic-logs
NEW QUESTION 49
You are developing the data platform for a global retail company. The company operates during normal working hours in each region. The analytical database is used once a week for building sales projections.
Each region maintains its own private virtual network.
Building the sales projections is very resource intensive are generates upwards of 20 terabytes (TB) of data.
Microsoft Azure SQL Databases must be provisioned.
* Database provisioning must maximize performance and minimize cost
* The daily sales for each region must be stored in an Azure SQL Database instance
* Once a day, the data for all regions must be loaded in an analytical Azure SQL Database instance You need to provision Azure SQL database instances.
How should you provision the database instances? To answer, drag the appropriate Azure SQL products to the correct databases. Each Azure SQL product may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Box 1: Azure SQL Database elastic pools
SQL Database elastic pools are a simple, cost-effective solution for managing and scaling multiple databases that have varying and unpredictable usage demands. The databases in an elastic pool are on a single Azure SQL Database server and share a set number of resources at a set price. Elastic pools in Azure SQL Database enable SaaS developers to optimize the price performance for a group of databases within a prescribed budget while delivering performance elasticity for each database.
Box 2: Azure SQL Database Hyperscale
A Hyperscale database is an Azure SQL database in the Hyperscale service tier that is backed by the Hyperscale scale-out storage technology. A Hyperscale database supports up to 100 TB of data and provides high throughput and performance, as well as rapid scaling to adapt to the workload requirements. Scaling is transparent to the application - connectivity, query processing, and so on, work like any other SQL database.
NEW QUESTION 50
You have an Azure SQL server named Server1 that hosts two development databases named DB1 and DB2.
You have an administrative workstation that has an IP address of 192.168.8.8. The development team at your company has an IP addresses in the range of 192.168.8.1 to 192.168.8.5.
You need to set up firewall rules to meet the following requirements:
* Allows connection from your workstation to both databases.
* The development team must be able connect to DB1 but must be prevented from connecting to DB2.
* Web services running in Azure must be able to connect to DB1 but must be prevented from connecting to DB2.
Which three actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
- A. Create a firewall rule on DB1 that has a start and end IP address of 192.168.8.8.
- B. Create a firewall rule on DB1 that has a start IP address of 192.168.8.1 and an end IP address of
192.168.8.5. - C. Create a firewall rule on DB1 that has a start and end IP address of 0.0.0.0.
- D. Create a firewall rule on Server1 that has a start IP address of 192.168.8.1 and an end IP address of
192.168.8.5. - E. Create a firewall rule on Server1 that has a start and end IP address of 192.168.8.8.
Answer: B,D,E
NEW QUESTION 51
You need to provision the polling data storage account.
How should you configure the storage account? To answer, drag the appropriate Configuration Value to the correct Setting. Each Configuration Value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Account type: StorageV2
You must create new storage accounts as type StorageV2 (general-purpose V2) to take advantage of Data Lake Storage Gen2 features.
Scenario: Polling data is stored in one of the two locations:
* An on-premises Microsoft SQL Server 2019 database named PollingData
* Azure Data Lake Gen 2
Data in Data Lake is queried by using PolyBase
Replication type: RA-GRS
Scenario: All services and processes must be resilient to a regional Azure outage.
Geo-redundant storage (GRS) is designed to provide at least 99.99999999999999% (16 9's) durability of objects over a given year by replicating your data to a secondary region that is hundreds of miles away from the primary region. If your storage account has GRS enabled, then your data is durable even in the case of a complete regional outage or a disaster in which the primary region isn't recoverable.
If you opt for GRS, you have two related options to choose from:
* GRS replicates your data to another data center in a secondary region, but that data is available to be read only if Microsoft initiates a failover from the primary to secondary region.
* Read-access geo-redundant storage (RA-GRS) is based on GRS. RA-GRS replicates your data to another data center in a secondary region, and also provides you with the option to read from the secondary region. With RA-GRS, you can read from the secondary region regardless of whether Microsoft initiates a failover from the primary to secondary region.
References:
https://docs.microsoft.com/bs-cyrl-ba/azure/storage/blobs/data-lake-storage-quickstart-create-account
https://docs.microsoft.com/en-us/azure/storage/common/storage-redundancy-grs
Topic 2, Contoso Ltd
Overview
Current environment
Contoso relies on an extensive partner network for marketing, sales, and distribution. Contoso uses external companies that manufacture everything from the actual pharmaceutical to the packaging.
The majority of the company's data reside in Microsoft SQL Server database. Application databases fall into one of the following tiers:
The company has a reporting infrastructure that ingests data from local databases and partner services.
Partners services consists of distributors, wholesales, and retailers across the world. The company performs daily, weekly, and monthly reporting.
Requirements
Tier 3 and Tier 6 through Tier 8 application must use database density on the same server and Elastic pools in a cost-effective manner.
Applications must still have access to data from both internal and external applications keeping the data encrypted and secure at rest and in transit.
A disaster recovery strategy must be implemented for Tier 3 and Tier 6 through 8 allowing for failover in the case of server going offline.
Selected internal applications must have the data hosted in single Microsoft Azure SQL Databases.
* Tier 1 internal applications on the premium P2 tier
* Tier 2 internal applications on the standard S4 tier
The solution must support migrating databases that support external and internal application to Azure SQL Database. The migrated databases will be supported by Azure Data Factory pipelines for the continued movement, migration and updating of data both in the cloud and from local core business systems and repositories.
Tier 7 and Tier 8 partner access must be restricted to the database only.
In addition to default Azure backup behavior, Tier 4 and 5 databases must be on a backup strategy that performs a transaction log backup eve hour, a differential backup of databases every day and a full back up every week.
Back up strategies must be put in place for all other standalone Azure SQL Databases using Azure SQL-provided backup storage and capabilities.
Databases
Contoso requires their data estate to be designed and implemented in the Azure Cloud. Moving to the cloud must not inhibit access to or availability of data.
Databases:
Tier 1 Database must implement data masking using the following masking logic:
Tier 2 databases must sync between branches and cloud databases and in the event of conflicts must be set up for conflicts to be won by on-premises databases.
Tier 3 and Tier 6 through Tier 8 applications must use database density on the same server and Elastic pools in a cost-effective manner.
Applications must still have access to data from both internal and external applications keeping the data encrypted and secure at rest and in transit.
A disaster recovery strategy must be implemented for Tier 3 and Tier 6 through 8 allowing for failover in the case of a server going offline.
Selected internal applications must have the data hosted in single Microsoft Azure SQL Databases.
* Tier 1 internal applications on the premium P2 tier
* Tier 2 internal applications on the standard S4 tier
Reporting
Security and monitoring
Security
A method of managing multiple databases in the cloud at the same time is must be implemented to streamlining data management and limiting management access to only those requiring access.
Monitoring
Monitoring must be set up on every database. Contoso and partners must receive performance reports as part of contractual agreements.
Tiers 6 through 8 must have unexpected resource storage usage immediately reported to data engineers.
The Azure SQL Data Warehouse cache must be monitored when the database is being used. A dashboard monitoring key performance indicators (KPIs) indicated by traffic lights must be created and displayed based on the following metrics:
Existing Data Protection and Security compliances require that all certificates and keys are internally managed in an on-premises storage.
You identify the following reporting requirements:
* Azure Data Warehouse must be used to gather and query data from multiple internal and external databases
* Azure Data Warehouse must be optimized to use data from a cache
* Reporting data aggregated for external partners must be stored in Azure Storage and be made available during regular business hours in the connecting regions
* Reporting strategies must be improved to real time or near real time reporting cadence to improve competitiveness and the general supply chain
* Tier 9 reporting must be moved to Event Hubs, queried, and persisted in the same Azure region as the company's main office
* Tier 10 reporting data must be stored in Azure Blobs
Issues
Team members identify the following issues:
* Both internal and external client application run complex joins, equality searches and group-by clauses.
Because some systems are managed externally, the queries will not be changed or optimized by Contoso
* External partner organization data formats, types and schemas are controlled by the partner companies
* Internal and external database development staff resources are primarily SQL developers familiar with the Transact-SQL language.
* Size and amount of data has led to applications and reporting solutions not performing are required speeds
* Tier 7 and 8 data access is constrained to single endpoints managed by partners for access
* The company maintains several legacy client applications. Data for these applications remains isolated form other applications. This has led to hundreds of databases being provisioned on a per application basis
NEW QUESTION 52
You are developing a solution using a Lambda architecture on Microsoft Azure.
The data at test layer must meet the following requirements:
Data storage:
*Serve as a repository (or high volumes of large files in various formats.
*Implement optimized storage for big data analytics workloads.
*Ensure that data can be organized using a hierarchical structure.
Batch processing:
*Use a managed solution for in-memory computation processing.
*Natively support Scala, Python, and R programming languages.
*Provide the ability to resize and terminate the cluster automatically.
Analytical data store:
*Support parallel processing.
*Use columnar storage.
*Support SQL-based languages.
You need to identify the correct technologies to build the Lambda architecture.
Which technologies should you use? To answer, select the appropriate options in the answer area NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Data storage: Azure Data Lake Store
A key mechanism that allows Azure Data Lake Storage Gen2 to provide file system performance at object storage scale and prices is the addition of a hierarchical namespace. This allows the collection of objects/files within an account to be organized into a hierarchy of directories and nested subdirectories in the same way that the file system on your computer is organized. With the hierarchical namespace enabled, a storage account becomes capable of providing the scalability and cost-effectiveness of object storage, with file system semantics that are familiar to analytics engines and frameworks.
Batch processing: HD Insight Spark
Aparch Spark is an open-source, parallel-processing framework that supports in-memory processing to boost the performance of big-data analysis applications.
HDInsight is a managed Hadoop service. Use it deploy and manage Hadoop clusters in Azure. For batch processing, you can use Spark, Hive, Hive LLAP, MapReduce.
Languages: R, Python, Java, Scala, SQL
Analytic data store: SQL Data Warehouse
SQL Data Warehouse is a cloud-based Enterprise Data Warehouse (EDW) that uses Massively Parallel Processing (MPP).
SQL Data Warehouse stores data into relational tables with columnar storage.
References:
https://docs.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-namespace
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/batch-processing
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-overview-what-is
NEW QUESTION 53
Your company uses Azure SQL Database and Azure Blob storage.
All data at rest must be encrypted by using the company's own key. The solution must minimize administrative effort and the impact to applications which use the database.
You need to configure security.
What should you implement? To answer, select the appropriate option in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: transparent data encryption
TDE with customer-managed keys in Azure Key Vault allows to encrypt the Database Encryption Key (DEK) with a customer-managed asymmetric key called TDE Protector. This is also generally referred to as Bring Your Own Key (BYOK) support for Transparent Data Encryption.
Note: Transparent data encryption encrypts the storage of an entire database by using a symmetric key called the database encryption key. This database encryption key is protected by the transparent data encryption protector.
Transparent data encryption (TDE) helps protect Azure SQL Database, Azure SQL Managed Instance, and Azure Data Warehouse against the threat of malicious offline activity by encrypting data at rest. It performs real-time encryption and decryption of the database, associated backups, and transaction log files at rest without requiring changes to the application.
Box 2: Storage account keys
You can rely on Microsoft-managed keys for the encryption of your storage account, or you can manage encryption with your own keys, together with Azure Key Vault.
References:
https://docs.microsoft.com/en-us/azure/sql-database/transparent-data-encryption-azure-sql
https://docs.microsoft.com/en-us/azure/storage/common/storage-service-encryption
NEW QUESTION 54
You need to collect application metrics, streaming query events, and application log messages for an Azure Databrick cluster.
Which type of library and workspace should you implement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
You can send application logs and metrics from Azure Databricks to a Log Analytics workspace. It uses the Azure Databricks Monitoring Library, which is available on GitHub.
References:
https://docs.microsoft.com/en-us/azure/architecture/databricks-monitoring/application-logs
NEW QUESTION 55
Which masking functions should you implement for each column to meet the data masking requirements? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Box 1: Default
Default uses a zero value for numeric data types (bigint, bit, decimal, int, money, numeric, smallint, smallmoney, tinyint, float, real).
Only Show a zero value for the values in a column named ShockOilWeight.
Box 2: Credit Card
The Credit Card Masking method exposes the last four digits of the designated fields and adds a constant string as a prefix in the form of a credit card.
Example: XXXX-XXXX-XXXX-1234
Only show the last four digits of the values in a column named SuspensionSprings.
Scenario:
The company identifies the following data masking requirements for the Race Central data that will be stored in SQL Database:
Only Show a zero value for the values in a column named ShockOilWeight.
Only show the last four digits of the values in a column named SuspensionSprings.
Topic 4, ADatum Corporation
Case study
Overview
ADatum Corporation is a retailer that sells products through two sales channels: retail stores and a website.
Existing Environment
ADatum has one database server that has Microsoft SQL Server 2016 installed. The server hosts three mission-critical databases named SALESDB, DOCDB, and REPORTINGDB.
SALESDB collects data from the stored and the website.
DOCDB stored documents that connect to the sales data in SALESDB. The documents are stored in two different JSON formats based on the sales channel.
REPORTINGDB stores reporting data and contains server columnstore indexes. A daily process creates reporting data in REPORTINGDB from the data in SALESDB. The process is implemented as a SQL Server Integration Services (SSIS) package that runs a stored procedure from SALESDB.
Requirements
Planned Changes
ADatum plans to move the current data infrastructure to Azure. The new infrastructure has the following requirements:
* Migrate SALESDB and REPORTINGDB to an Azure SQL database.
* Migrate DOCDB to Azure Cosmos DB.
* The sales data including the documents in JSON format, must be gathered as it arrives and analyzed online by using Azure Stream Analytics. The analytic process will perform aggregations that must be done continuously, without gaps, and without overlapping.
* As they arrive, all the sales documents in JSON format must be transformed into one consistent format.
* Azure Data Factory will replace the SSIS process of copying the data from SALESDB to REPORTINGDB.
Technical Requirements
The new Azure data infrastructure must meet the following technical requirements:
* Data in SALESDB must encrypted by using Transparent Data Encryption (TDE). The encryption must use your own key.
* SALESDB must be restorable to any given minute within the past three weeks.
* Real-time processing must be monitored to ensure that workloads are sized properly based on actual usage patterns.
* Missing indexes must be created automatically for REPORTINGDB.
* Disk IO, CPU, and memory usage must be monitored for SALESDB.
NEW QUESTION 56
Use the following login credentials as needed:
Azure Username: xxxxx
Azure Password: xxxxx
The following information is for technical support purposes only:
Lab Instance: 10543936
You need to ensure that users in the West US region can read data from a local copy of an Azure Cosmos DB database named cosmos10543936.
To complete this task, sign in to the Azure portal.
NOTE: This task might take several minutes to complete. You can perform other tasks while the task completes or end this section of the exam.
Answer:
Explanation:
You can enable Availability Zones by using Azure portal when creating an Azure Cosmos account.
You can enable Availability Zones by using Azure portal.
Step 1: enable the Geo-redundancy, Multi-region Writes
1. In Azure Portal search for and select Azure Cosmos DB.
2. Locate the Cosmos DB database named cosmos10543936
3. Access the properties for cosmos10543936
4. enable the Geo-redundancy, Multi-region Writes.
Location: West US region
Step 2: Add region from your database account
1. In to Azure portal, go to your Azure Cosmos account, and open the Replicate data globally menu.
2. To add regions, select the hexagons on the map with the + label that corresponds to your desired region(s). Alternatively, to add a region, select the + Add region option and choose a region from the drop-down menu.
Add: West US region
3. To save your changes, select OK.
Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/high-availability
https://docs.microsoft.com/en-us/azure/cosmos-db/how-to-manage-database-account
NEW QUESTION 57
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this scenario, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have an Azure SQL database named DB1 that contains a table named Table1. Table1 has a field named Customer_ID that is varchar(22).
You need to implement masking for the Customer_ID field to meet the following requirements:
* The first two prefix characters must be exposed.
* The last four prefix characters must be exposed.
All other characters must be masked.
Solution: You implement data masking and use a credit card function mask.
Does this meet the goal?
- A. No
- B. Yes
Answer: A
Explanation:
Explanation
Must use Custom Text data masking, which exposes the first and last characters and adds a custom padding string in the middle.
References:
https://docs.microsoft.com/en-us/azure/sql-database/sql-database-dynamic-data-masking-get-started
NEW QUESTION 58
SIMULATION
Use the following login credentials as needed:
Azure Username: xxxxx
Azure Password: xxxxx
The following information is for technical support purposes only:
Lab Instance: 10277521
You need to generate an email notification to [email protected] if the available storage in an Azure Cosmos DB database named cosmos10277521 is less than 100,000,000 bytes.
To complete this task, sign in to the Azure portal.
- A. 1. In the Azure portal, click All services, click Azure Cosmos DB, and then click the cosmos10277521 Azure Cosmos DB account.
2. In the resource menu, click Alert Rules to open the Alert rules page.
3. In the Alert rules page, click Add alert.
4. In the Add an alert rule page, specify:
Metric: Available storage
Condition: Less than
Threshold: 100,000,000 bytes
- B. 1. In the Azure portal, click All services, click Azure Cosmos DB, and then click the cosmos10277521 Azure Cosmos DB account.
2. In the resource menu, click Alert Rules to open the Alert rules page.
3. In the Alert rules page, click Add alert.
4. In the Add an alert rule page, specify:
Metric: Available storage
Condition: Less than
Answer: A
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/monitor-accounts
NEW QUESTION 59
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this scenario, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a container named Sales in an Azure Cosmos DB database. Sales has 120 GB of data. Each entry in Sales has the following structure.
The partition key is set to the OrderId attribute.
Users report that when they perform queries that retrieve data by ProductName, the queries take longer than expected to complete.
You need to reduce the amount of time it takes to execute the problematic queries.
Solution: You change the partition key to include ProductName.
Does this meet the goal?
- A. No
- B. Yes
Answer: A
Explanation:
Explanation
One option is to have a lookup collection "ProductName" for the mapping of "ProductName" to "OrderId".
References:
https://azure.microsoft.com/sv-se/blog/azure-cosmos-db-partitioning-design-patterns-part-1/
NEW QUESTION 60
Use the following login credentials as needed:
Azure Username: xxxxx
Azure Password: xxxxx
The following information is for technical support purposes only:
Lab Instance: 10543936
You need to ensure that only the resources on a virtual network named VNET1 can access an Azure Storage account named storage10543936.
To complete this task, sign in to the Azure portal.
Answer:
Explanation:
See the explanation below.
Explanation
You can use Private Endpoints for your Azure Storage accounts to allow clients on a virtual network (VNet) to securely access data over a Private Link.
Create your Private Endpoint
1. On the upper-left side of the screen in the Azure portal, Storage > Storage account, and select your storage account storage10543936
2. Select Networking.
3. Select Add Private Endpoint.
4. In Create Private Endpoint, enter or select this information:
Virtual network: Select VNET1 from the resource group.
5. Select OK.
6. Select Review + create. You're taken to the Review + create page where Azure validates your configuration.
Reference:
https://docs.microsoft.com/en-us/azure/private-link/create-private-endpoint-storage-portal
NEW QUESTION 61
You plan to create a new single database instance of Microsoft Azure SQL Database.
The database must only allow communication from the data engineer's workstation. You must connect directly to the instance by using Microsoft SQL Server Management Studio.
You need to create and configure the Database. Which three Azure PowerShell cmdlets should you use to develop the solution? To answer, move the appropriate cmdlets from the list of cmdlets to the answer area and arrange them in the correct order.
Answer:
Explanation:
Step 1: New-AzureSqlServer
Create a server.
Step 2: New-AzureRmSqlServerFirewallRule
New-AzureRmSqlServerFirewallRule creates a firewall rule for a SQL Database server.
Can be used to create a server firewall rule that allows access from the specified IP range.
Step 3: New-AzureRmSqlDatabase
Example: Create a database on a specified server
PS C:\>New-AzureRmSqlDatabase -ResourceGroupName "ResourceGroup01" -ServerName "Server01"
-DatabaseName "Database01
References:
https://docs.microsoft.com/en-us/azure/sql-database/scripts/sql-database-create-and-configure-database-powersh
NEW QUESTION 62
You manage the Microsoft Azure Databricks environment for a company. You must be able to access a private Azure Blob Storage account. Data must be available to all Azure Databricks workspaces. You need to provide the data access.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation:
Step 1: Create a secret scope
Step 2: Add secrets to the scope
Note: dbutils.secrets.get(scope = "<scope-name>", key = "<key-name>") gets the key that has been stored as a secret in a secret scope.
Step 3: Mount the Azure Blob Storage container
You can mount a Blob Storage container or a folder inside a container through Databricks File System - DBFS. The mount is a pointer to a Blob Storage container, so the data is never synced locally.
Note: To mount a Blob Storage container or a folder inside a container, use the following command:
Python
dbutils.fs.mount(
source = "wasbs://<your-container-name>@<your-storage-account-name>.blob.core.windows.net",
mount_point = "/mnt/<mount-name>",
extra_configs = {"<conf-key>":dbutils.secrets.get(scope = "<scope-name>", key = "<key-name>")})
where:
dbutils.secrets.get(scope = "<scope-name>", key = "<key-name>") gets the key that has been stored as a secret in a secret scope.
References:
https://docs.databricks.com/spark/latest/data-sources/azure/azure-storage.html
NEW QUESTION 63
Use the following login credentials as needed:
Azure Username: xxxxx
Azure Password: xxxxx
The following information is for technical support purposes only:
Lab Instance: 10543936
Your company's security policy states that administrators must be able to review a list of the failed logins to an Azure SQL database named db1 during the previous 30 days.
You need to modify your Azure environment to meet the security policy requirements.
To complete this task, sign in to the Azure portal.
Answer:
Explanation:
Set up auditing for your database
The following section describes the configuration of auditing using the Azure portal.
1. Go to the Azure portal.
2. Navigate to Auditing under the Security heading in your SQL database db1/server pane
3. If you prefer to enable auditing on the database level, switch Auditing to ON.
Reference:
https://docs.microsoft.com/en-us/azure/sql-database/sql-database-auditing
NEW QUESTION 64
......
Exam DP-200: Implementing an Azure Data Solution
Candidates for this exam are Microsoft Azure data engineers who collaborate with business stakeholders to identify and meet the data requirements to implement data solutions that use Azure data services.
Azure data engineers are responsible for data-related implementation tasks that include provisioning data storage services, ingesting streaming and batch data, transforming data, implementing security requirements, implementing data retention policies, identifying performance bottlenecks, and accessing external data sources.
Candidates for this exam must be able to implement data solutions that use the following Azure services: Azure Cosmos DB, Azure Synapse Analytics (formerly Azure SQL DW), Azure Data Factory, Azure Stream Analytics, Azure Databricks, and Azure Blob storage.
Part of the requirements for: Microsoft Certified: Azure Data Engineer Associate
DP-200 Exam Dumps, DP-200 Practice Test Questions: https://www.braindumpsit.com/DP-200_real-exam.html