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NEW QUESTION 134
You have found an error in your App Engine application caused by missing Cloud Datastore indexes. You have created a YAML file with the required indexes and want to deploy these new indexes to Cloud Datastore.
What should you do?

• A. Point gcloud datastore create-indexes to your configuration file
• B. In the GCP Console, use Datastore Admin to delete the current indexes and upload the new configuration file
• C. Create an HTTP request to the built-in python module to send the index configuration file to your application
• D. Upload the configuration file the App Engine's default Cloud Storage bucket, and have App Engine detect the new indexes

Answer: B

 

NEW QUESTION 135
Your company has decided to build a backup replica of their on-premises user authentication PostgreSQL database on Google Cloud Platform. The database is 4 TB, and large updates are frequent. Replication requires private address space communication. Which networking approach should you use?

• A. A NAT and TLS translation gateway installed on-premises
• B. A Google Compute Engine instance with a VPN server installed connected to the data center network
• C. Google Cloud Dedicated Interconnect
• D. Google Cloud VPN connected to the data center network

Answer: C

Explanation:
Explanation
https://cloud.google.com/docs/enterprise/best-practices-for-enterprise-organizations Google Cloud Dedicated Interconnect provides direct physical connections and RFC 1918 communication between your on-premises network and Google's network. Dedicated Interconnect enables you to transfer large amounts of data between networks, which can be more cost effective than purchasing additional bandwidth over the public Internet or using VPN tunnels.
Benefits:
* Traffic between your on-premises network and your VPC network doesn't traverse the public Internet.
Traffic traverses a dedicated connection with fewer hops, meaning there are less points of failure where traffic might get dropped or disrupted.
* Your VPC network's internal (RFC 1918) IP addresses are directly accessible from your on-premises
* network. You don't need to use a NAT device or VPN tunnel to reach internal IP addresses. Currently, you can only reach internal IP addresses over a dedicated connection. To reach Google external IP addresses, you must use a separate connection.
* You can scale your connection to Google based on your needs. Connection capacity is delivered over one or more 10 Gbps Ethernet connections, with a maximum of eight connections (80 Gbps total per interconnect).
* The cost of egress traffic from your VPC network to your on-premises network is reduced. A dedicated connection is generally the least expensive method if you have a high-volume of traffic to and from Google's network.
References: https://cloud.google.com/interconnect/docs/details/dedicated

 

NEW QUESTION 136
Your company is migrating its on-premises data center into the cloud. As part of the migration, you want to
integrate Kubernetes Engine for workload orchestration. Parts of your architecture must also be PCI DSS-
compliant. Which of the following is most accurate?

• A. Kubernetes Engine and GCP provide the tools you need to build a PCI DSS-compliant environment.
• B. All Google Cloud services are usable because Google Cloud Platform is certified PCI-compliant.
• C. App Engine is the only compute platform on GCP that is certified for PCI DSS hosting.
• D. Kubernetes Engine cannot be used under PCI DSS because it is considered shared hosting.

Answer: A

 

NEW QUESTION 137
A lead engineer wrote a custom tool that deploys virtual machines in the legacy data center. He wants to migrate the custom tool to the new cloud environment You want to advocate for the adoption of Google Cloud Deployment Manager What are two business risks of migrating to Cloud Deployment Manager? Choose 2 answers

• A. Cloud Deployment Manager only supports automation of Google Cloud resources.
• B. Cloud Deployment Manager uses Python.
• C. Cloud Deployment Manager is unfamiliar to the company's engineers.
• D. Cloud Deployment Manager can be used to permanently delete cloud resources.
• E. Cloud Deployment Manager APIs could be deprecated in the future.
• F. Cloud Deployment Manager requires a Google APIs service account to run.

Answer: A,C

Explanation:
https://cloud.google.com/deployment-manager/docs/deployments/deleting-deployments

 

NEW QUESTION 138
The operations manager asks you for a list of recommended practices that she should consider when migrating a J2EE application to the cloud. Which three practices should you recommend? Choose 3 answers

• A. Migrate from MySQL to a managed NoSQL database like Google Cloud Datastore or Bigtable.
• B. Integrate Cloud Dataflow into the application to capture real-time metrics.
• C. Instrument the application with a monitoring tool like Stackdriver Debugger.
• D. Deploy a continuous integration tool with automated testing in a staging environment.
• E. Port the application code to run on Google App Engine.
• F. Select an automation framework to reliably provision the cloud infrastructure.

Answer: A,D,E

Explanation:
Reference:
References: https://cloud.google.com/appengine/docs/standard/java/tools/uploadinganapp
https://cloud.google.com/appengine/docs/standard/java/building-app/cloud-sql

 

NEW QUESTION 139
Your company creates rendering software which users can download from the company website.
Your company has customers all over the world. You want to minimize latency for all your customers. You want to follow Google-recommended practices.
How should you store the files?

• A. Save the files in multiple Regional Cloud Storage buckets, one bucket per zone per region.
• B. Save the files in a Regional Cloud Storage bucket, one bucket per zone of the region.
• C. Save the files in a Multi-Regional Cloud Storage bucket.
• D. Save the files in multiple Multi-Regional Cloud Storage buckets, one bucket per multi-region.

Answer: B

 

NEW QUESTION 140
You want to optimize the performance of an accurate, real-time, weather-charting application.
The data comes from 50,000 sensors sending 10 readings a second, in the format of a timestamp and sensor reading. Where should you store the data?

• A. Google Cloud Storage
• B. Google Cloud SQL
• C. Google Cloud Bigtable
• D. Google BigQuery

Answer: C

Explanation:
Google Cloud Bigtable is a scalable, fully-managed NoSQL wide-column database that is suitable for both real-time access and analytics workloads.
Good for:
Low-latency read/write access

High-throughput analytics

Native time series support

Common workloads:
IoT, finance, adtech

Personalization, recommendations

Monitoring

Geospatial datasets

Graphs

References: https://cloud.google.com/storage-options/

 

NEW QUESTION 141
You are deploying an application on App Engine that needs to integrate with an on-premises database. For security purposes, your on-premises database must not be accessible through the public Internet. What should you do?

• A. Deploy your application on App Engine standard environment and use Cloud VPN to limit access to the onpremises database.
• B. Deploy your application on App Engine flexible environment and use Cloud VPN to limit access to the on-premises database.
• C. Deploy your application on App Engine standard environment and use App Engine firewall rules to limit access to the open on-premises database.
• D. Deploy your application on App Engine flexible environment and use App Engine firewall rules to limit access to the on-premises database.

Answer: B

Explanation:
https://cloud.google.com/appengine/docs/flexible/python/using-third-party-databases

 

NEW QUESTION 142
Your company's test suite is a custom C++ application that runs tests throughout each day on Linux virtual machines. The full test suite takes several hours to complete, running on a limited number of on premises servers reserved for testing. Your company wants to move the testing infrastructure to the cloud, to reduce the amount of time it takes to fully test a change to the system, while changing the tests as little as possible. Which cloud infrastructure should you recommend?

• A. Google Cloud Dataproc to run Apache Hadoop jobs to process each test
• B. Google App Engine with Google Stackdriver for logging
• C. Google Compute Engine unmanaged instance groups and Network Load Balancer
• D. Google Compute Engine managed instance groups with auto-scaling

Answer: A

 

NEW QUESTION 143
A production database virtual machine on Google Compute Engine has an ext4-formatted persistent disk for data files. The database is about to run out of storage space.
How can you remediate the problem with the least amount of downtime?

• A. In the Cloud Platform Console, create a snapshot of the persistent disk restore the snapshot to a new larger disk, unmount the old disk, mount the new disk and restart the database service
• B. In the Cloud Platform Console, create a new persistent disk attached to the virtual machine, format and mount it, and configure the database service to move the files to the new disk
• C. Shut down the virtual machine, use the Cloud Platform Console to increase the persistent disk size, then restart the virtual machine
• D. In the Cloud Platform Console, increase the size of the persistent disk and verify the new space is ready to use with the fdisk command in Linux
• E. In the Cloud Platform Console, increase the size of the persistent disk and use the resize2fs command in Linux.

Answer: E

Explanation:
On Linux instances, connect to your instance and manually resize your partitions and file systems to use the additional disk space that you added.
Extend the file system on the disk or the partition to use the added space. If you grew a partition on your disk, specify the partition. If your disk does not have a partition table, specify only the disk ID.
sudo resize2fs /dev/[DISK_ID][PARTITION_NUMBER]
where [DISK_ID] is the device name and [PARTITION_NUMBER] is the partition number for the device where you are resizing the file system.
Reference: https://cloud.google.com/compute/docs/disks/add-persistent-disk

 

NEW QUESTION 144
Your company has multiple on-premises systems that serve as sources for reporting. The data has not been maintained well and has become degraded over time. You want to use Google- recommended practices to detect anomalies in your company data. What should you do?

• A. Connect Cloud Dataprep to your on-premises systems. Use Cloud Dataprep to explore and clean your data.
• B. Connect Cloud Datalab to your on-premises systems. Use Cloud Datalab to explore and clean your data.
• C. Upload your files into Cloud Storage. Use Cloud Datalab to explore and clean your data.
• D. Upload your files into Cloud Storage. Use Cloud Dataprep to explore and clean your data.

Answer: D

 

NEW QUESTION 145
For this question, refer to the JencoMart case study.
JencoMart has built a version of their application on Google Cloud Platform that serves traffic to Asia.
You want to measure success against their business and technical goals. Which metrics should you track?

• A. Total visits and average latency for users in Asia
• B. Latency difference between US and Asia
• C. Total visits, error rates, and latency from Asia
• D. The number of character sets present in the database
• E. Error rates for requests from Asia

Answer: A

 

NEW QUESTION 146
For this question, refer to the TerramEarth case study
Your development team has created a structured API to retrieve vehicle dat a. They want to allow third parties to develop tools for dealerships that use this vehicle event data. You want to support delegated authorization against this data. What should you do?

• A. Build SAML 2.0 SSO compatibility into your authentication system.
• B. Build or leverage an OAuth-compatible access control system.
• C. Create secondary credentials for each dealer that can be given to the trusted third party.
• D. Restrict data access based on the source IP address of the partner systems.

Answer: B

Explanation:
Delegate application authorization with OAuth2
Cloud Platform APIs support OAuth 2.0, and scopes provide granular authorization over the methods that are supported. Cloud Platform supports both service-account and user-account OAuth, also called three-legged OAuth.
References: https://cloud.google.com/docs/enterprise/best-practices-for-enterprise-organizations#delegate_application_authorization_with_oauth2
https://cloud.google.com/appengine/docs/flexible/go/authorizing-apps
Reference:
https://cloud.google.com/appengine/docs/flexible/go/authorizing-apps
https://cloud.google.com/docs/enterprise/best-practices-for-enterprise-organizations#delegate_application_authorization_with_oauth2

 

NEW QUESTION 147
The database administration team has asked you to help them improve the performance of their new database server running on Google Compute Engine. The database is for importing and normalizing their performance statistics and is built with MySQL running on Debian Linux. They have an n1- standard-8 virtual machine with 80 GB of SSD persistent disk.
What should they change to get better performance from this system?

• A. Dynamically resize the SSD persistent disk to 500 GB.
• B. Migrate their performance metrics warehouse to BigQuery.
• C. Create a new virtual machine running PostgreSQL.
• D. Modify all of their batch jobs to use bulk inserts into the database.
• E. Increase the virtual machine's memory to 64 GB.

Answer: A

Explanation:
A is not correct because increasing the memory size will not improve persistent disk throughput.
B is not correct because the DB administration team is requesting help with their MySQL instance Migration to a different product should not be the solution when other optimization techniques can still be applied first.
C is correct because persistent disk performance is based on the total persistent disk capacity attached to an instance and the number of vCPUs that the Instance has Incrementing the persistent disk capacity will increment ns throughput and IOPS, which In turn improve the performance of MySQL.
D is not correct because the DB administration team is requesting help with their MySQL instance Migration to a different product should not be the solution when other optimization techniques can still be applied first.

 

NEW QUESTION 148
For this question, refer to the TerramEarth case study.
To speed up data retrieval, more vehicles will be upgraded to cellular connections and be able to transmit data to the ETL process. The current FTP process is error-prone and restarts the data transfer from the start of the file when connections fail, which happens often. You want to improve the reliability of the solution and minimize data transfer time on the cellular connections. What should you do?

• A. Use multiple Google Container Engine clusters running FTP servers located in different regions. Save the data to Multi-Regional buckets in us, eu, and asia. Run the ETL process using the data in the bucket.
• B. Use one Google Container Engine cluster of FTP servers. Save the data to a Multi-Regional bucket. Run the ETL process using data in the bucket.
• C. Directly transfer the files to a different Google Cloud Regional Storage bucket location in us, eu, and asia using Google APIs over HTTP(S). Run the ETL process to retrieve the data from each Regional bucket.
• D. Directly transfer the files to different Google Cloud Multi-Regional Storage bucket locations in us, eu, and asia using Google APIs over HTTP(S). Run the ETL process using the data in the bucket.

Answer: C

Explanation:
Reference:
https://cloud.google.com/storage/docs/locations

 

NEW QUESTION 149
For this question, refer to the TerramEarth case study. You are asked to design a new architecture for the ingestion of the data of the 200,000 vehicles that are connected to a cellular network. You want to follow Google-recommended practices.
Considering the technical requirements, which components should you use for the ingestion of the data?

• A. Compute Engine with project-wide SSH keys
• B. Cloud IoT Core with public/private key pairs
• C. Google Kubernetes Engine with an SSL Ingress
• D. Compute Engine with specific SSH keys

Answer: C

Explanation:
https://cloud.google.com/solutions/iot-overview
https://cloud.google.com/iot/quotas

 

NEW QUESTION 150
For this question, refer to the Dress4Win case study.
At Dress4Win, an operations engineer wants to create a tow-cost solution to remotely archive copies of database backup files. The database files are compressed tar files stored in their current data center. How should he proceed?

• A. Create a cron script using gsutil to copy the files to a Coldline Storage bucket.
• B. Create a cron script using gsutil to copy the files to a Regional Storage bucket.
• C. Create a Cloud Storage Transfer Service Job to copy the files to a Coldline Storage bucket.
• D. Create a Cloud Storage Transfer Service job to copy the files to a Regional Storage bucket.

Answer: A

Explanation:
Follow these rules of thumb when deciding whether to use gsutil or Storage Transfer Service:
* When transferring data from an on-premises location, use gsutil.
* When transferring data from another cloud storage provider, use Storage Transfer Service.
* Otherwise, evaluate both tools with respect to your specific scenario.
Use this guidance as a starting point. The specific details of your transfer scenario will also help you determine which tool is more appropriate
https://cloud.google.com/storage-transfer/docs/overview

 

NEW QUESTION 151
Case Study: 7 - Mountkirk Games
Company Overview
Mountkirk Games makes online, session-based, multiplayer games for mobile platforms. They build all of their games using some server-side integration. Historically, they have used cloud providers to lease physical servers.
Due to the unexpected popularity of some of their games, they have had problems scaling their global audience, application servers, MySQL databases, and analytics tools.
Their current model is to write game statistics to files and send them through an ETL tool that loads them into a centralized MySQL database for reporting.
Solution Concept
Mountkirk Games is building a new game, which they expect to be very popular. They plan to deploy the game's backend on Google Compute Engine so they can capture streaming metrics, run intensive analytics, and take advantage of its autoscaling server environment and integrate with a managed NoSQL database.
Business Requirements
Increase to a global footprint.
* Improve uptime - downtime is loss of players.
* Increase efficiency of the cloud resources we use.
* Reduce latency to all customers.
* Technical Requirements
Requirements for Game Backend Platform
Dynamically scale up or down based on game activity.
* Connect to a transactional database service to manage user profiles and game state.
* Store game activity in a timeseries database service for future analysis.
* As the system scales, ensure that data is not lost due to processing backlogs.
* Run hardened Linux distro.
* Requirements for Game Analytics Platform
Dynamically scale up or down based on game activity
* Process incoming data on the fly directly from the game servers
* Process data that arrives late because of slow mobile networks
* Allow queries to access at least 10 TB of historical data
* Process files that are regularly uploaded by users' mobile devices
* Executive Statement
Our last successful game did not scale well with our previous cloud provider, resulting in lower user adoption and affecting the game's reputation. Our investors want more key performance indicators (KPIs) to evaluate the speed and stability of the game, as well as other metrics that provide deeper insight into usage patterns so we can adapt the game to target users.
Additionally, our current technology stack cannot provide the scale we need, so we want to replace MySQL and move to an environment that provides autoscaling, low latency load balancing, and frees us up from managing physical servers.
For this question, refer to the Mountkirk Games case study. You need to analyze and define the technical architecture for the compute workloads for your company, Mountkirk Games.
Considering the Mountkirk Games business and technical requirements, what should you do?

• A. Create a global load balancer with managed instance groups and autoscaling policies. Use non- preemptible Compute Engine instances.
• B. Create network load balancers. Use non-preemptible Compute Engine instances.
• C. Create network load balancers. Use preemptible Compute Engine instances.
• D. Create a global load balancer with managed instance groups and autoscaling policies. Use preemptible Compute Engine instances.

Answer: A

 

NEW QUESTION 152
For this question, refer to the TerramEarth case study.
TerramEarth plans to connect all 20 million vehicles in the field to the cloud. This increases the volume to 20 million 600 byte records a second for 40 TB an hour. How should you design the data ingestion?

• A. Vehicles continue to write data using the existing system (FTP).
• B. Vehicles stream data directly to Google BigQuery.
• C. Vehicles write data directly to Google Cloud Pub/Sub.
• D. Vehicles write data directly to GCS.

Answer: C

Explanation:
https://cloud.google.com/solutions/data-lifecycle-cloud-platform
https://cloud.google.com/solutions/designing-connected-vehicle-platform

 

NEW QUESTION 153
Google Cloud Platform resources are managed hierarchically using organization, folders, and projects. When Cloud Identity and Access Management (IAM) policies exist at these different levels, what is the effective policy at a particular node of the hierarchy?

• A. The effective policy is the intersection of the policy set at the node and policies inherited from its ancestors
• B. The effective policy is the policy set at the node and restricted by the policies of its ancestors
• C. The effective policy is determined only by the policy set at the node
• D. The effective policy is the union of the policy set at the node and policies inherited from its ancestors

Answer: D

Explanation:
Reference: https://cloud.google.com/resource-manager/docs/cloud-platform-resource-hierarchy

 

NEW QUESTION 154
You need to upload files from your on-premises environment to Cloud Storage. You want the files to be encrypted on Cloud Storage using customer-supplied encryption keys. What should you do?

• A. Supply the encryption key in a .boto configuration file. Use gsutil to upload the files.
• B. Use gsutil to upload the files, and use the flag --encryption-key to supply the encryption key.
• C. Use gsutil to create a bucket, and use the flag --encryption-key to supply the encryption key. Use gsutil to upload the files to that bucket.
• D. Supply the encryption key using gcloud config. Use gsutil to upload the files to that bucket.

Answer: A

Explanation:
https://cloud.google.com/storage/docs/encryption/customer-supplied-keys#gsutil

 

NEW QUESTION 155
Case Study: 7 - Mountkirk Games
Company Overview
Mountkirk Games makes online, session-based, multiplayer games for mobile platforms. They build all of their games using some server-side integration. Historically, they have used cloud providers to lease physical servers.
Due to the unexpected popularity of some of their games, they have had problems scaling their global audience, application servers, MySQL databases, and analytics tools.
Their current model is to write game statistics to files and send them through an ETL tool that loads them into a centralized MySQL database for reporting.
Solution Concept
Mountkirk Games is building a new game, which they expect to be very popular. They plan to deploy the game's backend on Google Compute Engine so they can capture streaming metrics, run intensive analytics, and take advantage of its autoscaling server environment and integrate with a managed NoSQL database.
Business Requirements
Increase to a global footprint.
* Improve uptime - downtime is loss of players.
* Increase efficiency of the cloud resources we use.
* Reduce latency to all customers.
* Technical Requirements
Requirements for Game Backend Platform
Dynamically scale up or down based on game activity.
* Connect to a transactional database service to manage user profiles and game state.
* Store game activity in a timeseries database service for future analysis.
* As the system scales, ensure that data is not lost due to processing backlogs.
* Run hardened Linux distro.
* Requirements for Game Analytics Platform
Dynamically scale up or down based on game activity
* Process incoming data on the fly directly from the game servers
* Process data that arrives late because of slow mobile networks
* Allow queries to access at least 10 TB of historical data
* Process files that are regularly uploaded by users' mobile devices
* Executive Statement
Our last successful game did not scale well with our previous cloud provider, resulting in lower user adoption and affecting the game's reputation. Our investors want more key performance indicators (KPIs) to evaluate the speed and stability of the game, as well as other metrics that provide deeper insight into usage patterns so we can adapt the game to target users.
Additionally, our current technology stack cannot provide the scale we need, so we want to replace MySQL and move to an environment that provides autoscaling, low latency load balancing, and frees us up from managing physical servers.
For this question, refer to the Mountkirk Games case study. You need to analyze and define the technical architecture for the compute workloads for your company, Mountkirk Games.
Considering the Mountkirk Games business and technical requirements, what should you do?

• A. Create network load balancers. Use non-preemptible Compute Engine instances.
• B. Create network load balancers. Use preemptible Compute Engine instances.
• C. Create a global load balancer with managed instance groups and autoscaling policies. Use preemptible Compute Engine instances.
• D. Create a global load balancer with managed instance groups and autoscaling policies. Use non- preemptible Compute Engine instances.

Answer: C

 

NEW QUESTION 156
Your company wants to track whether someone is present in a meeting room reserved for a scheduled meeting. There are 1000 meeting rooms across 5 offices on 3 continents.
Each room is equipped with a motion sensor that reports its status every second. The data from the motion detector includes only a sensor ID and several different discrete items of information. Analysts will use this data, together with information about account owners and office locations. Which database type should you use?

• A. Blobstore
• B. Relational
• C. Flat file
• D. NoSQL

Answer: D

 

NEW QUESTION 157
For this question, refer to the TerramEarth case study. You are asked to design a new architecture for the ingestion of the data of the 200,000 vehicles that are connected to a cellular network. You want to follow Google-recommended practices.
Considering the technical requirements, which components should you use for the ingestion of the data?

• A. Compute Engine with project-wide SSH keys
• B. Cloud IoT Core with public/private key pairs
• C. Google Kubernetes Engine with an SSL Ingress
• D. Compute Engine with specific SSH keys

Answer: C

Explanation:
Explanation/Reference:
Dress4Win, A
Testlet 1
Company Overview
Dress4win is a web-based company that helps their users organize and manage their personal wardrobe using a website and mobile application. The company also cultivates an active social network that connects their users with designers and retailers. They monetize their services through advertising, e-commerce, referrals, and a premium app model.
Company Background
Dress4win's application has grown from a few servers in the founder's garage to several hundred servers and appliances in a collocated data center. However, the capacity of their infrastructure is now insufficient for the application's rapid growth. Because of this growth and the company's desire to innovate faster, Dress4win is committing to a full migration to a public cloud.
Solution Concept
For the first phase of their migration to the cloud, Dress4win is considering moving their development and test environments. They are also considering building a disaster recovery site, because their current infrastructure is at a single location. They are not sure which components of their architecture they can migrate as is and which components they need to change before migrating them.
Existing Technical Environment
The Dress4win application is served out of a single data center location.
* Databases:
- MySQL - user data, inventory, static data
- Redis - metadata, social graph, caching
* Application servers:
- Tomcat - Java micro-services
- Nginx - static content
- Apache Beam - Batch processing
* Storage appliances:
- iSCSI for VM hosts
- Fiber channel SAN - MySQL databases
- NAS - image storage, logs, backups
* Apache Hadoop/Spark servers:
- Data analysis
- Real-time trending calculations
* MQ servers:
- Messaging
- Social notifications
- Events
* Miscellaneous servers:
- Jenkins, monitoring, bastion hosts, security scanners
Business Requirements
* Build a reliable and reproducible environment with scaled parity of production.
* Improve security by defining and adhering to a set of security and Identity and Access Management (IAM) best practices for cloud.
* Improve business agility and speed of innovation through rapid provisioning of new resources.
* Analyze and optimize architecture for performance in the cloud.
* Migrate fully to the cloud if all other requirements are met.
Technical Requirements
* Evaluate and choose an automation framework for provisioning resources in cloud.
* Support failover of the production environment to cloud during an emergency.
* Identify production services that can migrate to cloud to save capacity.
* Use managed services whenever possible.
* Encrypt data on the wire and at rest.
* Support multiple VPN connections between the production data center and cloud environment.
CEO Statement
Our investors are concerned about our ability to scale and contain costs with our current infrastructure. They are also concerned that a new competitor could use a public cloud platform to offset their up-front investment and freeing them to focus on developing better features.
CTO Statement
We have invested heavily in the current infrastructure, but much of the equipment is approaching the end of its useful life. We are consistently waiting weeks for new gear to be racked before we can start new projects. Our traffic patterns are highest in the mornings and weekend evenings; during other times, 80% of our capacity is sitting idle.
CFO Statement
Our capital expenditure is now exceeding our quarterly projections. Migrating to the cloud will likely cause an initial increase in spending, but we expect to fully transition before our next hardware refresh cycle. Our total cost of ownership (TCO) analysis over the next 5 years puts a cloud strategy between 30 to 50% lower than our current model.

 

NEW QUESTION 158
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