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Below is the Associate Cloud Engineer Exam Format

Format: Multiple choices, multiple answers

Length of Examination: 2 Hours
Passing score: 80%
Language: English, Japanese, Spanish, Portuguese, French, German, and Indonesian.
Number of Questions: 50

Google Associate Cloud Engineer Exam Sample Questions (Q126-Q131):

NEW QUESTION # 126
You are running a data warehouse on BigQuery. A partner company is offering a recommendation engine based on the data in your data warehouse. The partner company is also running their application on Google Cloud. They manage the resources in their own project, but they need access to the BigQuery dataset in your project. You want to provide the partner company with access to the dataset What should you do?

A. Ask the partner to create a Service Account in their project, and grant their Service Account access to the BigQuery dataset in your project
B. Create a Service Account in your own project, and ask the partner to grant this Service Account access to BigQuery in their project
C. Create a Service Account in your own project, and grant this Service Account access to BigGuery in your project
D. Ask the partner to create a Service Account in their project, and have them give the Service Account access to BigQuery in their project

Answer: A

Explanation:
https://gtseres.medium.com/using-service-accounts-across-projects-in-gcp-cf9473fef8f0#:~:text=Go%20to%
20the%20destination%20project,Voila!

NEW QUESTION # 127
You want to verify the IAM users and roles assigned within a GCP project named my-project. What should you do?

A. Run gcloud iam roles list. Review the output section.
B. Navigate to the project and then to the Roles section in the GCP Console. Review the roles and status.
C. Navigate to the project and then to the IAM section in the GCP Console. Review the members and roles.
D. Run gcloud iam service-accounts list. Review the output section.

Answer: C

Explanation:
Explanation
Logged onto console and followed the steps and was able to see all the assigned users and roles.

NEW QUESTION # 128
Your company has a Google Cloud Platform project that uses BigQuery for data warehousing. Your data science team changes frequently and has few members. You need to allow members of this team to perform queries. You want to follow Google-recommended practices. What should you do?

A. 1. Create a dedicated Google group in Cloud Identity.2. Add each data scientist's user account to the group.3. Assign the BigQuery dataViewer user role to the group.
B. 1. Create an IAM entry for each data scientist's user account.2. Assign the BigQuery jobUser role to the group.
C. 1. Create a dedicated Google group in Cloud Identity.2. Add each data scientist's user account to the group.3. Assign the BigQuery jobUser role to the group.
D. 1. Create an IAM entry for each data scientist's user account.2. Assign the BigQuery dataViewer user role to the group.

Answer: C

Explanation:
Explanation
Read the dataset's metadata and to list tables in the dataset. Read data and metadata from the dataset's tables.
When applied at the project or organization level, this role can also enumerate all datasets in the project.
Additional roles, however, are necessary to allow the running of jobs.
BigQuery Data Viewer
(roles/bigquery.dataViewer)
When applied to a table or view, this role provides permissions to:
Read data and metadata from the table or view.
This role cannot be applied to individual models or routines.
When applied to a dataset, this role provides permissions to:
Read the dataset's metadata and list tables in the dataset.
Read data and metadata from the dataset's tables.
When applied at the project or organization level, this role can also enumerate all datasets in the project.
Additional roles, however, are necessary to allow the running of jobs.
Lowest-level resources where you can grant this role:
Table
View
BigQuery Job User
(roles/bigquery.jobUser)
Provides permissions to run jobs, including queries, within the project.
Lowest-level resources where you can grant this role:
Project
to run jobs https://cloud.google.com/bigquery/docs/access-control#bigquery.jobUser databaseUser needs additional role permission to run jobs https://cloud.google.com/spanner/docs/iam#spanner.databaseUser

NEW QUESTION # 129
You need to migrate invoice documents stored on-premises to Cloud Storage. The documents have the following storage requirements:
* Documents must be kept for five years.
* Up to five revisions of the same invoice document must be stored, to allow for corrections.
* Documents older than 365 days should be moved to lower cost storage tiers.
You want to follow Google-recommended practices to minimize your operational and development costs. What should you do?

A. Enable object versioning on the bucket, and use Cloud Scheduler to invoke a Cloud Functions instance to move or delete your documents based on their metadata.
B. Enable retention policies on the bucket, use lifecycle rules to change the storage classes of the objects, set the number of versions, and delete old files.
C. Enable object versioning on the bucket, use lifecycle conditions to change the storage class of the objects, set the number of versions, and delete old files.
D. Enable retention policies on the bucket, and use Cloud Scheduler to invoke a Cloud Function to move or delete your documents based on their metadata.

Answer: C

Explanation:
https://cloud.google.com/storage/docs/object-versioning

NEW QUESTION # 130
You want to permanently delete a Pub/Sub topic managed by Config Connector in your Google Cloud project.
What should you do?

A. Use gcloud CLI to delete the topic.
B. Use gcloud CLI to update the topic label managed-by-cnrm to false.
C. Use kubect1 to delete the topic resource.
D. Use kubect1 to create the label deleted-by-cnrm and to change its value to true for the topic resource.

Answer: C

NEW QUESTION # 131
......

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