Your organization is building a new application on Google Cloud. Several data files will need to be stored in Cloud Storage. Your organization has approved only two specific cloud regions where these data files can reside. You need to determine a Cloud Storage bucket strategy that includes automated high availability.
What should you do?

• A.Create a dual-region bucket, and upload the files to this bucket.
• B.Create a single-region bucket in each of the two regions, and use the gcloud storage command to replicate the data across the buckets in both regions.
• C.Create a multi-region bucket, and upload the files to this bucket.
• D.Create a single-region bucket in each of the two regions, and use Storage Transfer Service to replicate the data across the buckets in both regions.

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Your organization stores highly personal data in BigQuery and needs to comply with strict data privacy regulations. You need to ensure that sensitive data values are rendered unreadable whenever an employee leaves the organization. What should you do?

• A.Use AEAD functions and delete keys when employees leave the organization.
• B.Use dynamic data masking and revoke viewer permissions when employees leave the organization.
• C.Use customer-managed encryption keys (CMEK) and delete keys when employees leave the organization.
• D.Use column-level access controls with policy tags and revoke viewer permissions when employees leave the organization.

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You need to create a weekly aggregated sales report based on a large volume of dat a. You want to use Python to design an efficient process for generating this report. What should you do?

• A.Create a Cloud Run function that uses NumPy. Use Cloud Scheduler to schedule the function to run once a week.
• B.Create a Colab Enterprise notebook and use the bigframes.pandas library. Schedule the notebook to execute once a week.
• C.Create a Cloud Data Fusion and Wrangler flow. Schedule the flow to run once a week.
• D.Create a Dataflow directed acyclic graph (DAG) coded in Python. Use Cloud Scheduler to schedule the code to run once a week.

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Your company is migrating their batch transformation pipelines to Google Cloud. You need to choose a solution that supports programmatic transformations using only SQL. You also want the technology to support Git integration for version control of your pipelines. What should you do?

• A.Use Cloud Data Fusion pipelines.
• B.Use Dataform workflows.
• C.Use Dataflow pipelines.
• D.Use Cloud Composer operators.

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Your company is setting up an enterprise business intelligence platform. You need to limit data access between many different teams while following the Google-recommended approach. What should you do first?

• A.Create a separate Looker Studio report for each team, and share each report with the individuals within each team.
• B.Create one Looker Studio report with multiple pages, and add each team's data as a separate data source to the report.
• C.Create a Looker (Google Cloud core) instance, and create a separate dashboard for each team.
• D.Create a Looker (Google Cloud core) instance, and configure different Looker groups for each team.

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