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Google Associate Data Practitioner Sample Questions:

1. Your organization uses a BigQuery table that is partitioned by ingestion time. You need to remove data that is older than one year to reduce your organization's storage costs. You want to use the most efficient approach while minimizing cost. What should you do?

A) Require users to specify a partition filter using the alter table statement in SQL.
B) Create a view that filters out rows that are older than one year.
C) Create a scheduled query that periodically runs an update statement in SQL that sets the "deleted" column to "yes" for data that is more than one year old. Create a view that filters out rows that have been marked deleted.
D) Set the table partition expiration period to one year using the ALTER TABLE statement in SQL.

2. 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 BigQuery table that uses the SUM() function and the _PARTITIONDATE filter.
B) Create a materialized view in BigQuery that uses the SUM() function and the DATE_SUB() function.
C) Create a BigQuery table that uses the SUM() function and the DATE_DIFF() function.
D) 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.

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

4. You are a data analyst working with sensitive customer data in BigQuery. You need to ensure that only authorized personnel within your organization can query this data, while following the principle of least privilege. What should you do?

A) Enable access control by using IAM roles.
B) Encrypt the data by using customer-managed encryption keys (CMEK).
C) Export the data to Cloud Storage, and use signed URLs to authorize access.
D) Update dataset privileges by using the SQL GRANT statement.

5. You need to design a data pipeline that ingests data from CSV, Avro, and Parquet files into Cloud Storage.
The data includes raw user input. You need to remove all malicious SQL injections before storing the data in BigQuery. Which data manipulation methodology should you choose?

A) EL
B) ELT
C) ETLT
D) ETL

Solutions: