Google Associate Data Practitioner

Choose your answer

• A

  Use Cloud Run functions to create a serverless data cleaning pipeline. Store the cleaned data in BigQuery.

• B

  Use Cloud Data Fusion to transform the data. Store the cleaned data in BigQuery.

• C

  Load the data into BigQuery, and inspect the data by using SQL queries. Use Dataflow to transform the data and remove any errors.

• D

  Use Apache Beam to read the data and perform the necessary cleaning and transformation operations. Store the cleaned data in BigQuery.

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Choose your answer

• 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.

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Choose your answer

• A

  Use BigQuery ML to create a logistic regression model for purchase prediction.

• B

  Use Vertex AI Workbench to develop a custom model for purchase prediction.

• C

  Use Colab Enterprise to develop a custom model for purchase prediction.

• D

  Export the data to Cloud Storage, and use AutoML Tables to build a classification model for purchase prediction.

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Choose your answer

• A

  Design a Spark program that runs under Dataproc. Code the program to wait for user input when an error is detected. Rerun the last action after correcting any stage output data errors.

• B

  Design the pipeline as a set of PTransforms in Dataflow. Restart the pipeline after correcting any stage output data errors.

• C

  Design the workflow as a Cloud Workflow instance. Code the workflow to jump to a given stage based on an input parameter. Rerun the workflow after correcting any stage output data errors.

• D

  Design the processing as a directed acyclic graph (DAG) in Cloud Composer. Clear the state of the failed task after correcting any stage output data errors.

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Choose your answer

• A

  Create authorized views in the team’s Google Cloud project that is only accessible by the team.

• B

  Create a private exchange using Analytics Hub with data egress restriction, and grant access to the team members.

• C

  Enable domain restricted sharing on the project. Grant the team members the BigQuery Data Viewer IAM role on the dataset.

• D

  Export the dataset to a Cloud Storage bucket in the team’s Google Cloud project that is only accessible by the team.

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