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Google Associate-Cloud-Engineer - Google Cloud Certified - Associate Cloud Engineer

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Total 363 questions

You have an application that uses Cloud Spanner as a backend database. The application has a very predictable traffic pattern. You want to automatically scale up or down the number of Spanner nodes depending on traffic. What should you do?

A.

Create a cron job that runs on a scheduled basis to review stackdriver monitoring metrics, and then resize the Spanner instance accordingly.

B.

Create a Stackdriver alerting policy to send an alert to oncall SRE emails when Cloud Spanner CPU exceeds the threshold. SREs would scale resources up or down accordingly.

C.

Create a Stackdriver alerting policy to send an alert to Google Cloud Support email when Cloud Spanner CPU exceeds your threshold. Google support would scale resources up or down accordingly.

D.

Create a Stackdriver alerting policy to send an alert to webhook when Cloud Spanner CPU is over or under your threshold. Create a Cloud Function that listens to HTTP and resizes Spanner resources accordingly.

You need to track and verity modifications to a set of Google Compute Engine instances in your Google Cloud project. In particular, you want to verify OS system patching events on your virtual machines (VMs). What should you do?

A.

Review the Compute Engine activity logs Select and review the Admin Event logs

B.

Review the Compute Engine activity logs Select and review the System Event logs

C.

Install the Cloud Logging Agent In Cloud Logging review the Compute Engine syslog logs

D.

Install the Cloud Logging Agent In Cloud Logging, review the Compute Engine operation logs

You have a large 5-TB AVRO file stored in a Cloud Storage bucket. Your analysts are proficient only in SQL and need access to the data stored in this file. You want to find a cost-effective way to complete their request as soon as possible. What should you do?

A.

Load data in Cloud Datastore and run a SQL query against it.

B.

Create a BigQuery table and load data in BigQuery. Run a SQL query on this table and drop this table after you complete your request.

C.

Create external tables in BigQuery that point to Cloud Storage buckets and run a SQL query on these external tables to complete your request.

D.

Create a Hadoop cluster and copy the AVRO file to NDFS by compressing it. Load the file in a hive table and provide access to your analysts so that they can run SQL queries.

You have just created a new project which will be used to deploy a globally distributed application. You will use Cloud Spanner for data storage. You want to create a Cloud Spanner instance. You want to perform the first step in preparation of creating the instance. What should you do?

A.

Grant yourself the IAM role of Cloud Spanner Admin

B.

Create a new VPC network with subnetworks in all desired regions

C.

Configure your Cloud Spanner instance to be multi-regional

D.

Enable the Cloud Spanner API

You need to manage multiple Google Cloud Platform (GCP) projects in the fewest steps possible. You want to configure the Google Cloud SDK command line interface (CLI) so that you can easily manage multiple GCP projects. What should you?

A.

1. Create a configuration for each project you need to manage.2. Activate the appropriate configuration when you work with each of your assigned GCP projects.

B.

1. Create a configuration for each project you need to manage.2. Use gcloud init to update the configuration values when you need to work with a non-default project

C.

1. Use the default configuration for one project you need to manage.2. Activate the appropriate configuration when you work with each of your assigned GCP projects.

D.

1. Use the default configuration for one project you need to manage.2. Use gcloud init to update the configuration values when you need to work with a non-default project.

You are building a backend service for an ecommerce platform that will persist transaction data from mobile and web clients. After the platform is launched, you expect a large volume of global transactions. Your business team wants to run SQL queries to analyze the data. You need to build a highly available and scalable data store for the platform. What should you do?

A.

Create a multi-region Cloud Spanner instance with an optimized schema.

B.

Create a multi-region Firestore database with aggregation query enabled.

C.

Create a multi-region Cloud SQL for PostgreSQL database with optimized indexes.

D.

Create a multi-region BigQuery dataset with optimized tables.

The DevOps group in your organization needs full control of Compute Engine resources in your development project. However, they should not have permission to create or update any other resources in the project. You want to follow Google ' s recommendations for setting permissions for the DevOps group. What should you do?

A.

Grant the basic role roles/viewer and the predefined role roles/compute.admin to the DevOps group.

B.

Create an IAM policy and grant all compute. instanceAdmln. " permissions to the policy Attach the policy to the DevOps group.

C.

Create a custom role at the folder level and grant all compute. instanceAdmln. * permissions to the role Grant the custom role to the DevOps group.

D.

Grant the basic role roles/editor to the DevOps group.

Your company requires that Google Cloud products are created with a specific configuration to comply with your company ' s security policies You need to implement a mechanism that will allow software engineers at your company to deploy and update Google Cloud products in a preconfigured and approved manner. What should you do?

A.

Create Java packages that utilize the Google Cloud Client Libraries for Java to configure Google Cloud products. Store and share the packages in a source code repository.

B.

Create bash scripts that utilize the Google Cloud CLI to configure Google Cloud products. Store and share the bash scripts in a source code repository.

C.

Create Terraform modules that utilize the Google Cloud Terraform Provider to configure Google Cloud products. Store and share the modules in a source code repository.

D.

Use the Google Cloud APIs by using curl to configure Google Cloud products. Store and share the curl commands in a source code repository.