Microsoft DP-200 Real Exam Questions and Answers FREE

Exam Dumps DP-200 Practice Free Latest Microsoft Practice Tests

The benefit in Obtaining the DP-200 Exam Certification

• After completion of Microsoft Certified Azure Data Engineer, Associate Certification candidates receive official confirmation from Microsoft that you are now fully certified in their chosen field. This can be now added to their CV, cover letters and job applications.
• Candidates will get in-depth knowledge by completing the courses along with the access to revision materials for 6 months upon completion means they will have a wider skill set when it comes to the various technologies and systems than an uncertified professional. Certified Professional in this particular skill set is 74% more efficient when it comes to completing their tasks in a timely well-executed manner.
• Becoming Microsoft Certified Azure Data Engineer Associate means one thing you are worth more to the company and therefore more to yourself in the form of an upgraded pay package. On average a Microsoft Certified Azure Data Engineer Associate member of staff is estimated to be worth 30% more to a company than their uncertified professionals.
• When Candidates applying for a job or looking to promotion in their current position, a Microsoft Certified Azure Data Engineer Associate certification in the field in which Candidates are applying will put you at the top of the list and make them a desirable candidate for employers.
• Organization owners invest a lot in their employees when it comes to their training with the goal of making them quicker, more efficient, and more knowledgeable about their role. Certified Professional will reduce the time he spends on tasks, meaning he can get more done this could help reduce company downtime when repairing faults on a system or fixing hardware problems.

Preparation Options

Microsoft offers useful preparation options for the individuals who are planning to start their journey with this provider. Thus, for the Microsoft DP-200 exam, you can go for the following resources:

• Free online learning paths

  There are 8 learning paths in total that you can follow to learn the details of the exam content. Each path has several modules to cover. Thus, you can go for Store Data in Azure, Azure for the Data Engineer, Work with NoSQL Data in Azure Cosmos DB, Work with Relational Data in Azure, Implement a Data Streaming Solution with Azure Streaming Analytics, Large-Scale Data Processing, Implement a Data Warehouse with Azure Synapse Analytics, and Data Engineering with Azure Databricks.

• Study guides

  Using the study guides is what you need to do by all means. They help you cover the details of the exam content, its topics, and the information related to the format of the test. You can search for the options offered by Microsoft or look for the ones that are available on Amazon. For example, you can buy Azure Storage, Streaming, and Batch Analytics: A guide for data engineers by Richard L. Nuckolls or Hands-On Data Warehousing with Azure Data Factory by Christian Coté.

• Paid instructor-led courses

  As for the courses with an instructor, you can go for the Implementing an Azure Data Solution training. There are the options that include the classroom training and virtual courses. The time for each session is based on the location of the course.

 

NEW QUESTION 54
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: 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.

• A. 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.
• B. 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 storage10543836
  2. Select Networking.
  3. Select Add Private Endpoint.
  4. In Create Private Endpoint, enter or select this information:
  5. Select OK.
  6. Select Review + create. You're taken to the Review + create page where Azure validates your configuration.

Answer: A

Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/private-link/create-private-endpoint-storage-portal

 

NEW QUESTION 55
A company is deploying a service-based data environment. You are developing a solution to process this data.
The solution must meet the following requirements:
* Use an Azure HDInsight cluster for data ingestion from a relational database in a different cloud service
* Use an Azure Data Lake Storage account to store processed data
* Allow users to download processed data
You need to recommend technologies for the solution.
Which technologies should you use? To answer, select the appropriate options in the answer area.

Answer:

Explanation:

Explanation:
Box 1: Apache Sqoop
Apache Sqoop is a tool designed for efficiently transferring bulk data between Apache Hadoop and structured datastores such as relational databases.
Azure HDInsight is a cloud distribution of the Hadoop components from the Hortonworks Data Platform (HDP).
Incorrect Answers:
DistCp (distributed copy) is a tool used for large inter/intra-cluster copying. It uses MapReduce to effect its distribution, error handling and recovery, and reporting. It expands a list of files and directories into input to map tasks, each of which will copy a partition of the files specified in the source list. Its MapReduce pedigree has endowed it with some quirks in both its semantics and execution.
RevoScaleR is a collection of proprietary functions in Machine Learning Server used for practicing data science at scale. For data scientists, RevoScaleR gives you data-related functions for import, transformation and manipulation, summarization, visualization, and analysis.
Box 2: Apache Kafka
Apache Kafka is a distributed streaming platform.
A streaming platform has three key capabilities:
Publish and subscribe to streams of records, similar to a message queue or enterprise messaging system.
Store streams of records in a fault-tolerant durable way.
Process streams of records as they occur.
Kafka is generally used for two broad classes of applications:
Building real-time streaming data pipelines that reliably get data between systems or applications
Building real-time streaming applications that transform or react to the streams of data
Box 3: Ambari Hive View
You can run Hive queries by using Apache Ambari Hive View. The Hive View allows you to author, optimize, and run Hive queries from your web browser.
References:
https://sqoop.apache.org/
https://kafka.apache.org/intro
https://docs.microsoft.com/en-us/azure/hdinsight/hadoop/apache-hadoop-use-hive-ambari-view

 

NEW QUESTION 56
A company is designing a hybrid solution to synchronize data and on-premises Microsoft SQL Server database to Azure SQL Database.
You must perform an assessment of databases to determine whether data will move without compatibility issues.
You need to perform the assessment.
Which tool should you use?

• A. Data Migration Assistant (DMA)
• B. Microsoft Assessment and Planning Toolkit
• C. Azure SQL Data Sync
• D. SQL Server Migration Assistant (SSMA)
• E. SQL Vulnerability Assessment (VA)

Answer: D

 

NEW QUESTION 57
You implement an enterprise data warehouse in Azure Synapse Analytics.
You have a large fact table that is 10 terabytes (TB) in size.
Incoming queries use the primary key Sale Key column to retrieve data as displayed in the following table:

You need to distribute the large fact table across multiple nodes to optimize performance of the table.
Which technology should you use?

• A. hash distributed table with clustered index
• B. heap table with distribution replicate
• C. round robin distributed table with clustered ColumnStore index
• D. hash distributed table with clustered ColumnStore index
• E. round robin distributed table with clustered index

Answer: D

Explanation:
Hash-distributed tables improve query performance on large fact tables.
Columnstore indexes can achieve up to 100x better performance on analytics and data warehousing workloads and up to 10x better data compression than traditional rowstore indexes.
Incorrect Answers:
D, E: Round-robin tables are useful for improving loading speed.
Reference:
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-tables-distribute
https://docs.microsoft.com/en-us/sql/relational-databases/indexes/columnstore-indexes-query-performance

 

NEW QUESTION 58
You are implementing an Azure Blob storage account for an application that has the following requirements:
Data created during the last 12 months must be readily accessible.
Blobs older than 24 months must use the lowest storage costs. This data will be accessed infrequently.
Data created 12 to 24 months ago will be accessed infrequently but must be readily accessible at the lowest storage costs.
Which four 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:

References:
https://docs.microsoft.com/en-us/azure/storage/blobs/storage-lifecycle-management-concepts

 

NEW QUESTION 59
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 you can recover any blob data from an Azure Storage account named storage10543936 up to 10 days after the data is deleted.
To complete this task, sign in to the Azure portal.

Answer:

Explanation:
See the explanation below.
Explanation
Enable soft delete for blobs on your storage account by using Azure portal:
1. In the Azure portal, select your storage account.
2. Navigate to the Data Protection option under Blob Service.
3. Click Enabled under Blob soft delete

4. Enter the number of days you want to retain for under Retention policies. Here enter 10.
5. Choose the Save button to confirm your Data Protection settings
Note: Azure Storage now offers soft delete for blob objects so that you can more easily recover your data when it is erroneously modified or deleted by an application or other storage account user. Currently you can retain soft deleted data for between 1 and 365 days.
Reference:
https://docs.microsoft.com/en-us/azure/storage/blobs/storage-blob-soft-delete

 

NEW QUESTION 60
A company is planning to use Microsoft Azure Cosmos DB as the data store for an application. You have the following Azure CLI command:
az cosmosdb create --name "cosmosdbdev1" --resource-group "rgdev"
You need to minimize latency and expose the SQL API. How should you complete the command? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation

Box 1: Eventual
With Azure Cosmos DB, developers can choose from five well-defined consistency models on the consistency spectrum. From strongest to more relaxed, the models include strong, bounded staleness, session, consistent prefix, and eventual consistency.
The following image shows the different consistency levels as a spectrum.

Box 2: GlobalDocumentDB
Select Core(SQL) to create a document database and query by using SQL syntax.
Note: The API determines the type of account to create. Azure Cosmos DB provides five APIs: Core(SQL) and MongoDB for document databases, Gremlin for graph databases, Azure Table, and Cassandra.
References:
https://docs.microsoft.com/en-us/azure/cosmos-db/consistency-levels
https://docs.microsoft.com/en-us/azure/cosmos-db/create-sql-api-dotnet

 

NEW QUESTION 61

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 classify the following information as Confidential:
* Database: db3
* Schema: SalesLT
* Table: Customer
* Column: Phone Information
* Type: Contact Info
To complete this task, sign in to the Azure portal.

Answer:

Explanation:
See the explanation below.
Explanation
1. In Azure Portal, locate and select database db3.
2. Select Security and Advance Data Security, and Click Enable advanced Data Security Protection

3. Click the Data Discovery & Classification card.
4. Click on Add classification in the top menu of the window.

5. In the context window that opens, select the schema > table > column that you want to classify, and the information type and sensitivity label. Then click on the blue Add classification button at the bottom of the context window.
Select/enter the following
* Schema: SalesLT
* Table: Customer
* Column: Phone Information
* Information type: Contact Info

6. To complete your classification and persistently label (tag) the database columns with the new classification metadata, click on Save in the top menu of the window.

References:
https://docs.microsoft.com/en-us/azure/sql-database/sql-database-data-discovery-and-classification

 

NEW QUESTION 62
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 D
• B. Option B
• C. Option A
• D. Option C

Answer: C

Explanation:
Explanation/Reference:
Incorrect Answers:
B, D: Only these Data Definition Language (DDL) statements are allowed on external tables:
* CREATE TABLE and DROP TABLE
* CREATE STATISTICS and DROP STATISTICS
* CREATE VIEW and DROP VIEW
References:
https://docs.microsoft.com/en-us/sql/t-sql/statements/create-external-table-transact-sql

 

NEW QUESTION 63
You are implementing an Azure Blob storage account for an application that has the following requirements:
Data created during the last 12 months must be readily accessible.
Blobs older than 24 months must use the lowest storage costs. This data will be accessed infrequently.
Data created 12 to 24 months ago will be accessed infrequently but must be readily accessible at the lowest storage costs.
Which four 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:

1 - Create a block blob in a Blob storage account
2 - Use an Azure Resource Manager template that has a lifecycle management policy
3 - Create a rule that has the rule actions of TierCool, TierToArchive, and Delete
4 - Schedule the lifecycle management policy to run.
References:
https://docs.microsoft.com/en-us/azure/storage/blobs/storage-lifecycle-management-concepts

 

NEW QUESTION 64
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 questions 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.
You need to configure data encryption for external applications.
Solution:
1. Access the Always Encrypted Wizard in SQL Server Management Studio
2. Select the column to be encrypted
3. Set the encryption type to Randomized
4. Configure the master key to use the Windows Certificate Store
5. Validate configuration results and deploy the solution
Does the solution meet the goal?

• A. No
• B. Yes

Answer: A

Explanation:
Explanation/Reference:
Explanation:
Use the Azure Key Vault, not the Windows Certificate Store, to store the master key.
Note: The Master Key Configuration page is where you set up your CMK (Column Master Key) and select the key store provider where the CMK will be stored. Currently, you can store a CMK in the Windows certificate store, Azure Key Vault, or a hardware security module (HSM).

References:
https://docs.microsoft.com/en-us/azure/sql-database/sql-database-always-encrypted-azure-key-vault

 

NEW QUESTION 65
NO:148 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: 10543936

You need to create an Azure Storage account named account10543936. The solution must meet the following requirements:
* Minimize storage costs.
* Ensure that account10543936 can store many image files.
* Ensure that account10543936 can quickly retrieve stored image files.
To complete this task, sign in to the Azure portal.

Answer:

Explanation:
See the explanation below.
Explanation
Create a general-purpose v2 storage account, which provides access to all of the Azure Storage services: blobs, files, queues, tables, and disks.
1. On the Azure portal menu, select All services. In the list of resources, type Storage Accounts. As you begin typing, the list filters based on your input. Select Storage Accounts.
2. On the Storage Accounts window that appears, choose Add.
3. Select the subscription in which to create the storage account.
4. Under the Resource group field, select Create new. Enter the name for your new resource group, as shown in the following image.

5. Next, enter the name account10543936 for your storage account.
6. Select a location for your storage account, or use the default location.
7. Leave these fields set to their default values:
Deployment model: Resource Manager
Performance: Standard
Account kind: StorageV2 (general-purpose v2)
Replication: Read-access geo-redundant storage (RA-GRS)
Access tier: Hot
8. Select Review + Create to review your storage account settings and create the account.
9. Select Create.
Reference:
https://docs.microsoft.com/en-us/azure/storage/common/storage-account-create

 

NEW QUESTION 66
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 67
You need to set up access to Azure SQL Database for Tier 7 and Tier 8 partners.
Which three actions should you perform in sequence? To answer, move the appropriate three actions from the list of actions to the answer area and arrange them in the correct order.

Answer:

Explanation:

Explanation

Tier 7 and 8 data access is constrained to single endpoints managed by partners for access Step 1: Set the Allow Azure Services to Access Server setting to Disabled Set Allow access to Azure services to OFF for the most secure configuration.
By default, access through the SQL Database firewall is enabled for all Azure services, under Allow access to Azure services. Choose OFF to disable access for all Azure services.
Note: The firewall pane has an ON/OFF button that is labeled Allow access to Azure services. The ON setting allows communications from all Azure IP addresses and all Azure subnets. These Azure IPs or subnets might not be owned by you. This ON setting is probably more open than you want your SQL Database to be. The virtual network rule feature offers much finer granular control.
Step 2: In the Azure portal, create a server firewall rule
Set up SQL Database server firewall rules
Server-level IP firewall rules apply to all databases within the same SQL Database server.
To set up a server-level firewall rule:
* In Azure portal, select SQL databases from the left-hand menu, and select your database on the SQL databases page.
* On the Overview page, select Set server firewall. The Firewall settings page for the database server opens.
Step 3: Connect to the database and use Transact-SQL to create a database firewall rule Database-level firewall rules can only be configured using Transact-SQL (T-SQL) statements, and only after you've configured a server-level firewall rule.
To setup a database-level firewall rule:
* Connect to the database, for example using SQL Server Management Studio.
* In Object Explorer, right-click the database and select New Query.
* In the query window, add this statement and modify the IP address to your public IP address:
* EXECUTE sp_set_database_firewall_rule N'Example DB Rule','0.0.0.4','0.0.0.4';
* On the toolbar, select Execute to create the firewall rule.
References:
https://docs.microsoft.com/en-us/azure/sql-database/sql-database-security-tutorial

 

NEW QUESTION 68
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:

Explanation

Resource type: SQL data warehouse
DWU limit belongs to the SQL data warehouse resource type.
Signal: DWU limit
SQL Data Warehouse capacity limits are maximum values allowed for various components of Azure SQL Data Warehouse.
References:
https://docs.microsoft.com/en-us/azure/sql-database/sql-database-insights-alerts-portal

 

NEW QUESTION 69
You need to develop a pipeline for processing data. The pipeline must meet the following requirements.
* Scale up and down resources for cost reduction.
* Use an in-memory data processing engine to speed up ETL and machine learning operations.
* Use streaming capabilities.
* Provide the ability to code in SQL, Python, Scala, and R.
* Integrate workspace collaboration with Git.
What should you use?

• A. HDInsight Hadoop Cluster
• B. Azure Stream Analytics
• C. Azure SQL Data Warehouse
• D. HDInsight Spark Cluster

Answer: D

Explanation:
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
You can create an HDInsight Spark cluster using an Azure Resource Manager template. The template can be found in GitHub.
References:
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/batch-processing

 

NEW QUESTION 70
You manage a process that performs analysis of daily web traffic logs on an HDInsight cluster. Each of the 250 web servers generates approximately 10 megabytes (MB) of log data each day. All log data is stored in a single folder in Microsoft Azure Data Lake Storage Gen 2.
You need to improve the performance of the process.
Which two changes should you make? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

• A. Move the log files into folders so that each day's logs are in their own folder
• B. Increase the value of the hive.tez.container.sizeparameter
• C. Increase the value of the mapreduce.map.memoryparameter
• D. Increase the number of worker nodes
• E. Combine the daily log files for all servers into one file

Answer: A,E

Explanation:
Explanation
Explanation:
A: Typically, analytics engines such as HDInsight and Azure Data Lake Analytics have a per-file overhead. If you store your data as many small files, this can negatively affect performance. In general, organize your data into larger sized files for better performance (256MB to 100GB in size). Some engines and applications might have trouble efficiently processing files that are greater than 100GB in size.
C: For Hive workloads, partition pruning of time-series data can help some queries read only a subset of the data which improves performance.
Those pipelines that ingest time-series data, often place their files with a very structured naming for files and folders. Below is a very common example we see for data that is structured by date:
\DataSet\YYYY\MM\DD\datafile_YYYY_MM_DD.tsv
Notice that the datetime information appears both as folders and in the filename.
References:
https://docs.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-performance-tuning-guidance

 

NEW QUESTION 71
You have an Azure Databricks resource.
You need to log actions that relate to compute changes triggered by the Databricks resources.
Which Databricks services should you log?

• A. SSH
• B. clusters
• C. workspace
• D. DBFS
• E. jobs

Answer: B

Explanation:
An Azure Databricks cluster is a set of computation resources and configurations on which you run data engineering, data science, and data analytics workloads.
Incorrect Answers:
A: An Azure Databricks workspace is an environment for accessing all of your Azure Databricks assets. The workspace organizes objects (notebooks, libraries, and experiments) into folders, and provides access to data and computational resources such as clusters and jobs.
B: SSH allows you to log into Apache Spark clusters remotely.
C: Databricks File System (DBFS) is a distributed file system mounted into an Azure Databricks workspace and available on Azure Databricks clusters.
E: A job is a way of running a notebook or JAR either immediately or on a scheduled basis.
Reference:
https://docs.microsoft.com/en-us/azure/databricks/clusters/

 

NEW QUESTION 72
You need to implement an Azure Databricks cluster that automatically connects to Azure Data Lake Storage Gen2 by using Azure Active Directory (Azure AD) integration.
How should you configure the new cluster? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation

Box 1: High Concurrency
Enable Azure Data Lake Storage credential passthrough for a high-concurrency cluster.
Incorrect:
Support for Azure Data Lake Storage credential passthrough on standard clusters is in Public Preview.
Standard clusters with credential passthrough are supported on Databricks Runtime 5.5 and above and are limited to a single user.
Box 2: Azure Data Lake Storage Gen1 Credential Passthrough
You can authenticate automatically to Azure Data Lake Storage Gen1 and Azure Data Lake Storage Gen2 from Azure Databricks clusters using the same Azure Active Directory (Azure AD) identity that you use to log into Azure Databricks. When you enable your cluster for Azure Data Lake Storage credential passthrough, commands that you run on that cluster can read and write data in Azure Data Lake Storage without requiring you to configure service principal credentials for access to storage.
References:
https://docs.azuredatabricks.net/spark/latest/data-sources/azure/adls-passthrough.html

 

NEW QUESTION 73
Your company analyzes images from security cameras and sends to security teams that respond to unusual activity. The solution uses Azure Databricks.
You need to send Apache Spark level events, Spark Structured Streaming metrics, and application metrics to Azure Monitor.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions in the answer area and arrange them in the correct order.

Answer:

Explanation:

Explanation:
You can send application logs and metrics from Azure Databricks to a Log Analytics workspace.
Spark uses a configurable metrics system based on the Dropwizard Metrics Library.
Prerequisites: Configure your Azure Databricks cluster to use the monitoring library.
Note: The monitoring library streams Apache Spark level events and Spark Structured Streaming metrics from your jobs to Azure Monitor.
To send application metrics from Azure Databricks application code to Azure Monitor, follow these steps:
Step 1. Build the spark-listeners-loganalytics-1.0-SNAPSHOT.jar JAR file Step 2: Create Dropwizard gauges or counters in your application code.
Reference:
https://docs.microsoft.com/bs-latn-ba/azure/architecture/databricks-monitoring/application-logs

 

NEW QUESTION 74
You are developing a data engineering solution for a company. The solution will store a large set of key-value pair data by using Microsoft Azure Cosmos DB.
The solution has the following requirements:
* Data must be partitioned into multiple containers.
* Data containers must be configured separately.
* Data must be accessible from applications hosted around the world.
* The solution must minimize latency.
You need to provision Azure Cosmos DB.

• A. Provision an Azure Cosmos DB account with the Azure Table API. Enable geo-redundancy.
• B. Provision an Azure Cosmos DB account with the Azure Table API. Enable multi-region writes.
• C. Replicate the data globally by manually adding regions to the Azure Cosmos DB account.
• D. Cosmos account-level throughput.
• E. Configure table-level throughput.

Answer: B

Explanation:
Scale read and write throughput globally. You can enable every region to be writable and elastically scale reads and writes all around the world. The throughput that your application configures on an Azure Cosmos database or a container is guaranteed to be delivered across all regions associated with your Azure Cosmos account.
The provisioned throughput is guaranteed up by financially backed SLAs.
References:
https://docs.microsoft.com/en-us/azure/cosmos-db/distribute-data-globally

 

NEW QUESTION 75
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 increase the Request Units (RUs) for the database.
Does this meet the goal?

• A. No
• B. Yes

Answer: B

Explanation:
To scale the provisioned throughput for your application, you can increase or decrease the number of RUs at any time.
Note: The cost of all database operations is normalized by Azure Cosmos DB and is expressed by Request Units (or RUs, for short). You can think of RUs per second as the currency for throughput. RUs per second is a rate-based currency. It abstracts the system resources such as CPU, IOPS, and memory that are required to perform the database operations supported by Azure Cosmos DB.
Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/request-units

 

NEW QUESTION 76
......

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