- (Topic 1)
Your organization wants to migrate your on-premises environment to Google Cloud. The on-premises environment consists of containers and virtual machine instances. Which Google Cloud products can help to migrate the container images and the virtual machine disks?

1. A. Compute Engine and Filestore
2. B. Artifact Registry and Cloud Storage
3. C. Dataflow and BigQuery
4. D. Pub/Sub and Cloud Storage

Correct Answer: A

Reference: https://cloud.google.com/compute/docs/import/importing-virtual-disks
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- (Topic 1)
A video game organization has invested in cloud technology to generate insights from user behaviors. They want to ensure recommendations of games are aligned to players' interests. What may have prompted this business decision?

1. A. Customers expect faster time to market for games.
2. B. Employees expect source code changes to be deployed faster.
3. C. Customers expect a personalized experience.
4. D. Employees expect more predictable data management spending.

Correct Answer: C
Because in the cloud era, users expect more personalization and customization.

- (Topic 1)
Your organization is moving an application to Google Cloud. As part of that effort, it needs to migrate the application’s working database from another cloud provider to Cloud SQL. The database runs on the MySQL engine. The migration must cause minimal disruption to users. Data must be secured while in transit.
Which should your organization use?

1. A. BigQuery Data Transfer Service
2. B. MySQL batch insert
3. C. Database Migration Service
4. D. Cloud Composer

Correct Answer: C

Reference: https://aws.amazon.com/dms/

- (Topic 2)
What are the different storage & database services in GCP? Which is Google cloud storage and da-tabase below the option

1. A. Persistent Disk
2. B. Cloud SQL.
3. C. Cloud Bigtable
4. D. Cloud Spanner
5. E. All of the Above

Correct Answer: E


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- (Topic 2)
A customer has an application running in virtual machines. They are migrating this application to Google Cloud. They have previously had scaling issues when on-premises as VMs had to be pre-allocated. Capacity planning was repeatedly off mark - it's either too many VMs or too less. They want to match the capacity to demand while keeping the application running always. They don't have the time or budget to re-architect the systems using containers and Kubernetes at the mo-ment. What would be your recommendation?

1. A. Run a load test on Compute Engine VM
2. B. Get an estimate of usag
3. C. Then plan for a VM capacity of 25% above the load test value.
4. D. Use the Managed Instance Group with Compute Engine
5. E. Inform them that new-age companies are using microservices, containers, and Kubernetes for this and they can plan to rewrite the app quickly.
6. F. Inform them that using a serverless option will take care of the scaling and they can move to Cloud Run or App Engine.

Correct Answer: B
Scalability. When your apps require additional compute resources, autoscaled MIGs can automatically grow the number of instances in the group to meet demand. If demand drops, autoscaled MIGs can automatically shrink to reduce your costs

https://cloud.google.com/compute/docs/instance-groups