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The Google Associate-Cloud-Engineer Exam assesses candidates on their ability to perform various cloud engineering tasks, including deploying applications, configuring cloud infrastructure, managing GCP resources, and monitoring and troubleshooting applications. Google Associate Cloud Engineer Exam certification exam also tests the candidate's knowledge of different GCP services, such as Google Compute Engine, Google App Engine, Google Kubernetes Engine, and Google Cloud Storage. The Google Associate Cloud Engineer Certification Exam is an excellent starting point for individuals who want to build a career in cloud computing or are interested in expanding their knowledge of GCP services.

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Google Associate Cloud Engineer Exam Sample Questions (Q156-Q161):

NEW QUESTION # 156
You are planning to migrate the following on-premises data management solutions to Google Cloud:
* One MySQL cluster for your main database
* Apache Kafka for your event streaming platform
* One Cloud SQL for PostgreSQL database for your analytical and reporting needs You want to implement Google-recommended solutions for the migration. You need to ensure that the new solutions provide global scalability and require minimal operational and infrastructure management. What should you do?

A. Migrate from MySQL to Cloud SQL, from Kafka to Memorystore, and from Cloud SQL for PostgreSQL to Cloud SQL.
B. Migrate from MySQL to Cloud Spanner, from Kafka to Memorystore, and from Cloud SQL for PostgreSQL to Cloud SQL.
C. Migrate from MySQL to Cloud SQL, from Kafka to Pub/Sub, and from Cloud SQL for PostgreSQL to BigQuery.
D. Migrate from MySQL to Cloud Spanner, from Kafka to Pub/Sub, and from Cloud SQL for PostgreSQL to BigQuery.

Answer: D

Explanation:
Cloud Spanner, Pub/Sub, and BigQuery are Google-recommended solutions for migrating your on-premises data management solutions to Google Cloud. They provide global scalability and require minimal operational and infrastructure management. Here is why:
Cloud Spanner is a fully managed, relational database service that offers strong consistency, high availability, and horizontal scalability across regions and continents. It is compatible with MySQL and can handle high-throughput OLTP workloads. It is a good choice for migrating your main database from MySQL to Google Cloud, as it can support your application's performance, availability, and growth requirements.
Pub/Sub is a fully managed, real-time messaging service that allows you to send and receive messages between independent applications. It is compatible with Apache Kafka and can handle high-volume event streaming and data ingestion. It is a good choice for migrating your event streaming platform from Kafka to Google Cloud, as it can support your application's reliability, scalability, and flexibility requirements.
BigQuery is a fully managed, serverless data warehouse that offers fast SQL queries, high scalability, and low cost. It is compatible with Cloud SQL for PostgreSQL and can handle complex analytical and reporting needs. It is a good choice for migrating your analytical and reporting database from Cloud SQL for PostgreSQL to Google Cloud, as it can support your application's speed, efficiency, and innovation requirements.
The other options are not correct because they either do not provide the required scalability, performance, or functionality. Option A is not correct because Cloud SQL is a regional, managed database service that does not offer the same level of scalability, availability, and consistency as Cloud Spanner. Option C is not correct because Memorystore is a regional, managed in-memory data store that does not offer the same level of functionality, durability, and integration as Pub/Sub. Option D is not correct because Cloud SQL is a regional, managed database service that does not offer the same level of scalability, performance, and cost-effectiveness as BigQuery.
Reference:
Migrating from MySQL to Cloud Spanner
Migrating from Apache Kafka to Cloud Pub/Sub
Migrating from Cloud SQL for PostgreSQL to BigQuery

NEW QUESTION # 157
Your company completed the acquisition of a startup and is now merging the IT systems of both companies. The startup had a production Google Cloud project in their organization. You need to move this project into your organization and ensure that the project is billed lo your organization. You want to accomplish this task with minimal effort. What should you do?

A. Create an infrastructure-as-code template tor all resources in the project by using Terraform. and deploy that template to a new project in your organization. Delete the protect from the startup's Google Cloud organization.
B. Ensure that you have an Organization Administrator Identity and Access Management (1AM) role assigned to you in both organizations. Navigate to the Resource Manager in the startup's Google Cloud organization, and drag the project to your company's organization.
C. Use the projects. move method to move the project to your organization. Update the billing account of the project to that of your organization.
D. Create a Private Catalog tor the Google Cloud Marketplace, and upload the resources of the startup's production project to the Catalog. Share the Catalog with your organization, and deploy the resources in your company's project.

Answer: C

NEW QUESTION # 158
30. You are running multiple microservices in a Kubernetes Engine cluster. One microservice is rendering images. The microservice responsible for the image rendering requires a large amount of CPU time compared to the memory it requires. The other microservices are workloads that are optimized for n1-standard machine types. You need to optimize your cluster so that all workloads are using resources as efficiently as possible.
What should you do?

A. Use the node pool with general-purpose machine type nodes for lite mage rendering microservice Create a nodepool with compute-optimized machine type nodes for the other microservices
B. Assign the pods of the image rendering microservice a higher pod priority than the older microservices
C. Create a node pool with compute-optimized machine type nodes for the image rendering microservice Use the node pool with general-purpose machine type nodes for the other microservices
D. Configure the required amount of CPU and memory in the resource requests specification of the image rendering microservice deployment Keep the resource requests for the other microservices at the default

Answer: C

NEW QUESTION # 159
Your company set up a complex organizational structure on Google Could Platform. The structure includes hundreds of folders and projects. Only a few team members should be able to view the hierarchical structure.
You need to assign minimum permissions to these team members and you want to follow Google- recommended practices. What should you do?

A. Add the users to a group, and add this group to roles/iam.roleViewer role.
B. Add the users to a group, and add this group to roles/browser role.
C. Add the users to roles/browser role.
D. Add the users to roles/iam.roleViewer role.

Answer: B

NEW QUESTION # 160
You want to configure an SSH connection to a single Compute Engine instance for users in the dev1 group.
This instance is the only resource in this particular Google Cloud Platform project that the dev1 users should be able to connect to. What should you do?

A. Enable block project wide keys for the instance. Generate an SSH key and associate the key with that instance. Distribute the key to dev1 users and direct them to use their third-party tools to connect.
B. Set metadata to enable-oslogin=true for the instance. Set the service account to no service account for that instance. Direct them to use the Cloud Shell to ssh to that instance.
C. Set metadata to enable-oslogin=true for the instance. Grant the dev1 group the compute.osLogin role.
Direct them to use the Cloud Shell to ssh to that instance.
D. Enable block project wide keys for the instance. Generate an SSH key for each user in the dev1 group.
Distribute the keys to dev1 users and direct them to use their third-party tools to connect.

Answer: C

NEW QUESTION # 161
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