Data 50 preg (260-211) v2

You need to ensure that both projects have the appropriate compute resources available. What should you do?

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You need to recommend a solution that they can use. What should you do?

• Use Dataprep to clean the data, and write the results to BigQuery. Analyze the data by using Connected Sheets.

• Use Dataprep to clean the data, and write the results to BigQuery. Analyze the data by using Looker Studio.

• Use Dataflow to clean the data, and write the results to BigQuery. Analyze the data by using Connected Sheets.

• Use Dataflow to clean the data, and write the results to BigQuery. Analyze the data by using Looker Studio.

You have several different file type data sources, such as Apache Parquet and CSV. You want to store the data in Cloud Storage. You need to set up an object sink for your data that allows you to use your own encryption keys. You want to use a GUI-based solution. What should you do?

• Use Storage Transfer Service to move files into Cloud Storage.

• Use Cloud Data Fusion to move files into Cloud Storage.

• Use Dataflow to move files into Cloud Storage.

• Use BigQuery Data Transfer Service to move files into BigQuery.

What should you do?

• Create a Cloud Storage bucket with Autoclass enabled.

• Create a Cloud Storage bucket with an Object Lifecycle Management policy to transition objects from Standard to Coldline storage class if an object age reaches 30 days.

• Create a Cloud Storage bucket with an Object Lifecycle Management policy to transition objects from Standard to Coldline storage class if an object is not live.

• Create two Cloud Storage buckets. Use the Standard storage class for the first bucket, and use the Coldline storage class for the second bucket. Migrate objects from the first bucket to the second bucket after 30 days.

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You have an Oracle database deployed in a VM as part of a Virtual Private Cloud (VPC) network. You want to replicate and continuously synchronize 50 tables to BigQuery. You want to minimize the need to manage infrastructure. What should you do?

• Deploy Apache Kafka in the same VPC network, use Kafka Connect Oracle Change Data Capture (CDC), and Dataflow to stream the Kafka topic to BigQuery.

• Create a Pub/Sub subscription to write to BigQuery directly. Deploy the Debezium Oracle connector to capture changes in the Oracle database, and sink to the Pub/Sub topic.

• Deploy Apache Kafka in the same VPC network, use Kafka Connect Oracle change data capture (CDC), and the Kafka Connect Google BigQuery Sink Connector.

• Create a Datastream service from Oracle to BigQuery, use a private connectivity configuration to the same VPC network, and a connection profile to BigQuery.

What should you do to improve performance?

• Enable Vertical Autoscaling to let the pipeline use larger workers.

• Change the pipeline code, and introduce a Reshuffle step to prevent fusion.

• Update the job to increase the maximum number of workers.

• Use Dataflow Prime, and enable Right Fitting to increase the worker resources.

What should you do?

• Ensure that your workers have network tags to access Cloud Storage and BigQuery. Use Dataflow with only internal IP addresses.

• Ensure that the firewall rules allow access to Cloud Storage and BigQuery. Use Dataflow with only internal IPs.

• Create a VPC Service Controls perimeter that contains the VPC network and add Dataflow, Cloud Storage, and BigQuery as allowed services in the perimeter. Use Dataflow with only internal IP addresses.

• Ensure that Private Google Access is enabled in the subnetwork. Use Dataflow with only internal IP addresses.

What should you do?

• Create a normalized model with tables for each entity. Use snapshots before updates to track historical data.

• Create a normalized model with tables for each entity. Keep all input files in a Cloud Storage bucket to track historical data.

• Create a denormalized model with nested and repeated fields. Update the table and use snapshots to track historical data.

• Create a denormalized, append-only model with nested and repeated fields. Use the ingestion timestamp to track historical data.

You have important legal hold documents in a Cloud Storage bucket. You need to ensure that these documents are not deleted or modified. What should you do?

• Set a retention policy. Lock the retention policy.

• Set a retention policy. Set the default storage class to Archive for long-term digital preservation.

• Enable the Object Versioning feature. Add a lifecycle rule.

• Enable the Object Versioning feature. Create a copy in a bucket in a different region.