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Google Updated Associate-Data-Practitioner Exam Questions and Answers by leonidas

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Google Associate-Data-Practitioner Exam Overview :

Exam Name: Google Cloud Associate Data Practitioner (ADP Exam)
Exam Code: Associate-Data-Practitioner Dumps
Vendor: Google Certification: Google Cloud Platform
Questions: 106 Q&A's Shared By: leonidas
Question 8

Your organization has several datasets in their data warehouse in BigQuery. Several analyst teams in different departments use the datasets to run queries. Your organization is concerned about the variability of their monthly BigQuery costs. You need to identify a solution that creates a fixed budget for costs associated with the queries run by each department. What should you do?

Options:

A.

Create a custom quota for each analyst in BigQuery.

B.

Create a single reservation by using BigQuery editions. Assign all analysts to the reservation.

C.

Assign each analyst to a separate project associated with their department. Create a single reservation by using BigQuery editions. Assign all projects to the reservation.

D.

Assign each analyst to a separate project associated with their department. Create a single reservation for each department by using BigQuery editions. Create assignments for each project in the appropriate reservation.

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Question 9

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

Options:

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.

Discussion
Question 10

You work for a global financial services company that trades stocks 24/7. You have a Cloud SGL for PostgreSQL user database. You need to identify a solution that ensures that the database is continuously operational, minimizes downtime, and will not lose any data in the event of a zonal outage. What should you do?

Options:

A.

Continuously back up the Cloud SGL instance to Cloud Storage. Create a Compute Engine instance with PostgreSCL in a different region. Restore the backup in the Compute Engine instance if a failure occurs.

B.

Create a read replica in another region. Promote the replica to primary if a failure occurs.

C.

Configure and create a high-availability Cloud SQL instance with the primary instance in zone A and a secondary instance in any zone other than zone A.

D.

Create a read replica in the same region but in a different zone.

Discussion
Question 11

Your organization has decided to migrate their existing enterprise data warehouse to BigQuery. The existing data pipeline tools already support connectors to BigQuery. You need to identify a data migration approach that optimizes migration speed. What should you do?

Options:

A.

Create a temporary file system to facilitate data transfer from the existing environment to Cloud Storage. Use Storage Transfer Service to migrate the data into BigQuery.

B.

Use the Cloud Data Fusion web interface to build data pipelines. Create a directed acyclic graph (DAG) that facilitates pipeline orchestration.

C.

Use the existing data pipeline tool’s BigQuery connector to reconfigure the data mapping.

D.

Use the BigQuery Data Transfer Service to recreate the data pipeline and migrate the data into BigQuery.

Discussion
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