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Google Cloud Associate Data Practitioner - Associate-Data-Practitioner FREE EXAM DUMPS QUESTIONS & ANSWERS

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Total 108 questions

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Question 1

Your organization has several datasets in BigQuery. The datasets need to be shared with your external partners so that they can run SQL queries without needing to copy the data to their own projects. You have organized each partner's data in its own BigQuery dataset. Each partner should be able to access only their data. You want to share the data while following Google-recommended practices. What should you do?

A. Use Analytics Hub to create a listing on a private data exchange for each partner dataset. Allow each partner to subscribe to their respective listings. B. Export the BigQuery data to a Cloud Storage bucket. Grant the partners the storage.objectUser IAM role on the bucket. C. Grant the partners the bigquery.user IAM role on the BigQuery project. D. Create a Dataflow job that reads from each BigQuery dataset and pushes the data into a dedicated Pub
/Sub topic for each partner. Grant each partner the pubsub. subscriber IAM role.

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Correct Answer: A Vote an answer

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Question 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 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.

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Correct Answer: A Vote an answer

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Question 3

You manage data at an ecommerce company. You have a Dataflow pipeline that processes order data from Pub/Sub, enriches the data with product information from Bigtable, and writes the processed data to BigQuery for analysis. The pipeline runs continuously and processes thousands of orders every minute. You need to monitor the pipeline's performance and be alerted if errors occur. What should you do?

A. Use Cloud Logging to view the pipeline logs and check for errors. Set up alerts based on specific keywords in the logs. B. Use BigQuery to analyze the processed data in Cloud Storage and identify anomalies or inconsistencies.
Set up scheduled alerts based when anomalies or inconsistencies occur. C. Use the Dataflow job monitoring interface to visually inspect the pipeline graph, check for errors, and configure notifications when critical errors occur. D. Use Cloud Monitoring to track key metrics. Create alerting policies in Cloud Monitoring to trigger notifications when metrics exceed thresholds or when errors occur.

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Correct Answer: D Vote an answer

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Question 4

Following a recent company acquisition, you inherited an on-premises data infrastructure that needs to move to Google Cloud. The acquired system has 250 Apache Airflow directed acyclic graphs (DAGs) orchestrating data pipelines. You need to migrate the pipelines to a Google Cloud managed service with minimal effort.
What should you do?

A. Create a Google Kubernetes Engine (GKE) standard cluster and deploy Airflow as a workload. Migrate all DAGs to the new Airflow environment. B. Convert each DAG to a Cloud Workflow and automate the execution with Cloud Scheduler. C. Create a new Cloud Composer environment and copy DAGs to the Cloud Composer dags/ folder. D. Create a Cloud Data Fusion instance. For each DAG, create a Cloud Data Fusion pipeline.

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Correct Answer: C Vote an answer

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Question 5

Your company currently uses an on-premises network file system (NFS) and is migrating data to Google Cloud. You want to be able to control how much bandwidth is used by the data migration while capturing detailed reporting on the migration status. What should you do?

A. Use gcloud storage commands. B. Use a Transfer Appliance. C. Use Storage Transfer Service. D. Use Cloud Storage FUSE.

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Correct Answer: C Vote an answer

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Question 6

Your organization's website uses an on-premises MySQL as a backend database. You need to migrate the on- premises MySQL database to Google Cloud while maintaining MySQL features. You want to minimize administrative overhead and downtime. What should you do?

A. Install MySQL on a Compute Engine virtual machine. Export the database files using the mysqldump command. Upload the files to Cloud Storage, and import them into the MySQL instance on Compute Engine. B. Export the database tables to CSV files, and upload the files to Cloud Storage. Convert the MySQL schema to a Spanner schema, create a JSON manifest file, and run a Google-provided Dataflow template to load the data into Spanner. C. Use Database Migration Service to transfer the data to Cloud SQL for MySQL, and configure the on premises MySQL database as the source. D. Use a Google-provided Dataflow template to replicate the MySQL database in BigQuery.

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Correct Answer: C Vote an answer

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Total 108 questions

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