Free Google Associate-Data-Practitioner Exam Dumps Questions & Answers

You used BigQuery ML to build a customer purchase propensity model six months ago. You want to compare the current serving data with the historical serving data to determine whether you need to retrain the model.
What should you do?

• A.  Evaluate data drift.
• B.  Compare the two different models.
• C.  Compare the confusion matrix.
• D.  Evaluate the data skewness.

Your team uses the Google Ads platform to visualize metrics. You want to export the data to BigQuery to get more granular insights. You need to execute a one-time transfer of historical data and automatically update data daily. You want a solution that is low-code, serverless, and requires minimal maintenance. What should you do?

• A.  Export the historical data to BigQuery by using BigQuery Data Transfer Service. Use Cloud Composer for daily automation.
• B.  Export the historical data as a CSV file. Import the file into BigQuery for analysis. Use Cloud Composer for daily automation.
• C.  Export the historical data to Cloud Storage by using Storage Transfer Service. Use Pub/Sub to trigger a Dataflow template that loads data for daily automation.
• D.  Export the historical data to BigQuery by using BigQuery Data Transfer Service. Use BigQuery Data Transfer Service for daily automation.

You are constructing a data pipeline to process sensitive customer data stored in a Cloud Storage bucket. You need to ensure that this data remains accessible, even in the event of a single-zone outage. What should you do?

• A.  Set up a Cloud CDN in front of the bucket.
• B.  Store the data in Nearline storaqe.
• C.  Enable Object Versioning on the bucket.
• D.  Store the data in a multi-region bucket.

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.  Export the BigQuery data to a Cloud Storage bucket. Grant the partners the storage.objectUser IAM role on the bucket.
• B.  Grant the partners the bigquery.user IAM role on the BigQuery project.
• C.  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.
• D.  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.

Your organization plans to move their on-premises environment to Google Cloud. Your organization's network bandwidth is less than 1 Gbps. You need to move over 500 ## of data to Cloud Storage securely, and only have a few days to move the data. What should you do?

• A.  Request multiple Transfer Appliances, copy the data to the appliances, and ship the appliances back to Google Cloud to upload the data to Cloud Storage.
• B.  Connect to Google Cloud using Dedicated Interconnect. Use the gcloud storage command to move the data to Cloud Storage.
• C.  Connect to Google Cloud using VPN. Use the gcloud storage command to move the data to Cloud Storage.
• D.  Connect to Google Cloud using VPN. Use Storage Transfer Service to move the data to Cloud Storage.