Free PDF Quiz Google ADP Marvelous Exam Objectives

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100% Pass Quiz Google - ADP - Latest Associate Data Practitioner Exam Objectives

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Google Associate Data Practitioner Sample Questions (Q15-Q20):

NEW QUESTION # 15
Your team wants to create a monthly report to analyze inventory data that is updated daily. You need to aggregate the inventory counts by using only the most recent month of data, and save the results to be used in a Looker Studio dashboard. What should you do?

A. Create a materialized view in BigQuery that uses the SUM() function and the DATE_SUB() function.
B. Create a BigQuery table that uses the SUM() function and the _PARTITIONDATE filter.
C. Create a saved query in the BigQuery console that uses the SUM() function and the DATE_SUB() function. Re-run the saved query every month, and save the results to a BigQuery table.
D. Create a BigQuery table that uses the SUM() function and the DATE_DIFF() function.

Answer: A

NEW QUESTION # 16
Your organization has decided to move their on-premises Apache Spark-based workload to Google Cloud.
You want to be able to manage the code without needing to provision and manage your own cluster. What should you do?

A. Migrate the Spark jobs to Dataproc on Google Kubernetes Engine.
B. Migrate the Spark jobs to Dataproc Serverless.
C. Configure a Google Kubernetes Engine cluster with Spark operators, and deploy the Spark jobs.
D. Migrate the Spark jobs to Dataproc on Compute Engine.

Answer: B

NEW QUESTION # 17
You need to create a data pipeline that streams event information from applications in multiple Google Cloud regions into BigQuery for near real-time analysis. The data requires transformation before loading. You want to create the pipeline using a visual interface. What should you do?

A. Push event information to a Pub/Sub topic. Create a Cloud Run function to subscribe to the Pub/Sub topic, apply transformations, and insert the data into BigQuery.
B. Push event information to a Pub/Sub topic. Create a BigQuery subscription in Pub/Sub.
C. Push event information to a Pub/Sub topic. Create a Dataflow job using the Dataflow job builder.
D. Push event information to Cloud Storage, and create an external table in BigQuery. Create a BigQuery scheduled job that executes once each day to apply transformations.

Answer: C

NEW QUESTION # 18
Your company stores historical data in Cloud Storage. You need to ensure that all data is saved in a bucket for at least three years. What should you do?

A. Enable Object Versioning.
B. Set temporary object holds.
C. Change the bucket storage class to Archive.
D. Set a bucket retention policy.

Answer: D

NEW QUESTION # 19
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?

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

Answer: C

NEW QUESTION # 20
......

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Quiz 2026 High Pass-Rate Google ADP: Associate Data Practitioner Exam Objectives

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Free PDF Quiz Google ADP Marvelous Exam Objectives

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100% Pass Quiz Google - ADP - Latest Associate Data Practitioner Exam Objectives

Google Associate Data Practitioner Sample Questions (Q15-Q20):

Quiz 2026 High Pass-Rate Google ADP: Associate Data Practitioner Exam Objectives

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