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NEW QUESTION 34
You are moving an application that uses MySQL from on-premises to Google Cloud. The application will run on Compute Engine and will use Cloud SQL. You want to cut over to the Compute Engine deployment of the application with minimal downtime and no data loss to your customers. You want to migrate the application with minimal modification. You also need to determine the cutover strategy. What should you do?

  • A. 1. Stop the on-premises application.
    2. Create a mysqldump of the on-premises MySQL server.
    3. Upload the dump to a Cloud Storage bucket.
    4. Import the dump into Cloud SQL.
    5. Start the application on Compute Engine.
  • B. 1. Set up Cloud VPN to provide private network connectivity between the Compute Engine application and the on-premises MySQL server.
    2. Stop the on-premises application.
    3. Start the Compute Engine application, configured to read and write to the on-premises MySQL server.
    4. Create the replication configuration in Cloud SQL.
    5. Configure the source database server to accept connections from the Cloud SQL replica.
    6. Finalize the Cloud SQL replica configuration.
    7. When replication has been completed, stop the Compute Engine application.
    8. Promote the Cloud SQL replica to a standalone instance.
    9. Restart the Compute Engine application, configured to read and write to the Cloud SQL standalone instance.
  • C. 1. Set up Cloud SQL proxy and MySQL proxy.
    2. Create a mysqldump of the on-premises MySQL server.
    3. Upload the dump to a Cloud Storage bucket.
    4. Import the dump into Cloud SQL.
    5. Stop the on-premises application.
    6. Start the Compute Engine application.
  • D. 1. Set up Cloud VPN to provide private network connectivity between the Compute Engine application and the on-premises MySQL server.
    2. Stop the on-premises application.
    3. Create a mysqldump of the on-premises MySQL server.
    4. Upload the dump to a Cloud Storage bucket.
    5. Import the dump into Cloud SQL.
    6. Modify the source code of the application to write queries to both databases and read from its local database.
    7. Start the Compute Engine application.
    8. Stop the on-premises application.

Answer: B

Explanation:
External replica promotion migration In the migration strategy of external replica promotion, you create an external database replica and synchronize the existing data to that replica. This can happen with minimal downtime to the existing database. When you have a replica database, the two databases have different roles that are referred to in this document as primary and replica. After the data is synchronized, you promote the replica to be the primary in order to move the management layer with minimal impact to database uptime. In Cloud SQL, an easy way to accomplish the external replica promotion is to use the automated migration workflow. This process automates many of the steps that are needed for this type of migration.
https://cloud.google.com/architecture/migrating-mysql-to-cloudsql-concept
- The best option for migrating your MySQL database is to use an external replica promotion. In this strategy, you create a replica database and set your existing database as the primary. You wait until the two databases are in sync, and you then promote your MySQL replica database to be the primary. This process minimizes database downtime related to the database migration. - https://cloud.google.com/architecture/migrating-mysql-to-cloudsql-concept#external_replica_promotion_migration

 

NEW QUESTION 35
For this question, refer to the Dress4Win case study.
As part of their new application experience, Dress4Wm allows customers to upload images of themselves. The customer has exclusive control over who may view these images. Customers should be able to upload images with minimal latency and also be shown their images quickly on the main application page when they log in.
Which configuration should Dress4Win use?

  • A. Use a distributed file system to store customers' images. As storage needs increase, add more persistent disks and/or nodes. Assign each customer a unique ID, which sets each file's owner attribute, ensuring privacy of images.
  • B. Store image files in a Google Cloud Storage bucket. Add custom metadata to the uploaded images in Cloud Storage that contains the customer's unique ID.
  • C. Use a distributed file system to store customers' images. As storage needs increase, add more persistent disks and/or nodes. Use a Google Cloud SQL database to maintain metadata that maps each customer's ID to their image files.
  • D. Store image files in a Google Cloud Storage bucket. Use Google Cloud Datastore to maintain metadata that maps each customer's ID and their image files.

Answer: D

 

NEW QUESTION 36
For this question, refer to the EHR Healthcare case study. You are a developer on the EHR customer portal team. Your team recently migrated the customer portal application to Google Cloud. The load has increased on the application servers, and now the application is logging many timeout errors. You recently incorporated Pub/Sub into the application architecture, and the application is not logging any Pub/Sub publishing errors. You want to improve publishing latency. What should you do?

  • A. Move from a Pub/Sub subscriber pull model to a push model.
  • B. Create a backup Pub/Sub message queue.
  • C. Increase the Pub/Sub Total Timeout retry value.
  • D. Turn off Pub/Sub message batching.

Answer: D

Explanation:
Reference:
https://cloud.google.com/pubsub/docs/publisher?hl=en#batching

 

NEW QUESTION 37
JencoMart wants to move their User Profiles database to Google Cloud Platform.
Which Google Database should they use?

  • A. Google BigQuery
  • B. Google Cloud SQL
  • C. Cloud Spanner
  • D. Google Cloud Datastore

Answer: D

Explanation:
Common workloads for Google Cloud Datastore:
* User profiles
* Product catalogs
* Game state
References: https://cloud.google.com/storage-options/
https://cloud.google.com/datastore/docs/concepts/overview
Mountkirk Games, A
Testlet 1
Company Overview
Mountkirk Games makes online, session-based, multiplayer games for the most popular 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 clous resources we use
* Reduce lateny to all customers
Technical Requirements
Requirements for Game Backend Platform
1. Dynamically scale up or down based on game activity
2. Connect to a managed NoSQL database service
3. Run customize Linux distro
Requirements for Game Analytics Platform
1. Dynamically scale up or down based on game activity
2. Process incoming data on the fly directly from the game servers
3. Process data that arrives late because of slow mobile networks
4. Allow SQL queries to access at least 10 TB of historical data
5. Process files that are regularly uploaded by users' mobile devices
6. Use only fully managed services
CEO 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.
CTO Statement
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.
CFO Statement
We are not capturing enough user demographic data, usage metrics, and other KPIs. As a result, we do not engage the right users, we are not confident that our marketing is targeting the right users, and we are not selling enough premium Blast-Ups inside the games, which dramatically impacts our revenue.

 

NEW QUESTION 38
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