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Associate-Data-Practitioner Question and answers Include

Total Questions: 72 Q&A's
Single Choice: 72 Q&A's

Google Associate-Data-Practitioner Exam Dumps - Valid Questions Answers

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Associate-Data-Practitioner Questions and Answers

Question # 1

You manage a BigQuery table that is used for critical end-of-month reports. The table is updated weekly with new sales data. You want to prevent data loss and reporting issues if the table is accidentally deleted. What should you do?

A.

Configure the time travel duration on the table to be exactly seven days. On deletion, re-create the deleted table solely from the time travel data.

B.

Schedule the creation of a new snapshot of the table once a week. On deletion, re-create the deleted table using the snapshot and time travel data.

C.

Create a clone of the table. On deletion, re-create the deleted table by copying the content of the clone.

D.

Create a view of the table. On deletion, re-create the deleted table from the view and time travel data.

Question # 2

You manage a large amount of data in Cloud Storage, including raw data, processed data, and backups. Your organization is subject to strict compliance regulations that mandate data immutability for specific data types. You want to use an efficient process to reduce storage costs while ensuring that your storage strategy meets retention requirements. What should you do?

A.

Configure lifecycle management rules to transition objects to appropriate storage classes based on access patterns. Set up Object Versioning for all objects to meet immutability requirements.

B.

Move objects to different storage classes based on their age and access patterns. Use Cloud Key Management Service (Cloud KMS) to encrypt specific objects with customer-managed encryption keys (CMEK) to meet immutability requirements.

C.

Create a Cloud Run function to periodically check object metadata, and move objects to the appropriate storage class based on age and access patterns. Use object holds to enforce immutability for specific objects.

D.

Use object holds to enforce immutability for specific objects, and configure lifecycle management rules to transition objects to appropriate storage classes based on age and access patterns.

Question # 3

You are predicting customer churn for a subscription-based service. You have a 50 PB historical customer dataset in BigQuery that includes demographics, subscription information, and engagement metrics. You want to build a churn prediction model with minimal overhead. You want to follow the Google-recommended approach. What should you do?

A.

Export the data from BigQuery to a local machine. Use scikit-learn in a Jupyter notebook to build the churn prediction model.

B.

Use Dataproc to create a Spark cluster. Use the Spark MLlib within the cluster to build the churn prediction model.

C.

Create a Looker dashboard that is connected to BigQuery. Use LookML to predict churn.

D.

Use the BigQuery Python client library in a Jupyter notebook to query and preprocess the data in BigQuery. Use the CREATE MODEL statement in BigQueryML to train the churn prediction model.

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