You need to move 2 PB of historical data from an on-premises storage appliance to Cloud Storage within six months, and your outbound network capacity is constrained to 20 Mb/sec. How should you migrate this data to Cloud Storage?

• A.Use Transfer Appliance to copy the data to Cloud Storage
• B.Use gsutil cp -Jto compress the content being uploaded to Cloud Storage
• C.Create a private URL for the historical data, and then use Storage Transfer Service to copy the data to Cloud Storage
• D.Use trickle or ionice along with gsutil cp to limit the amount of bandwidth gsutil utilizes to less than 20 Mb/ sec so it does not interfere with the production traffic

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What is the HBase Shell for Cloud Bigtable?

• A.The HBase shell is a GUI based interface that performs administrative tasks, such as creating and deleting tables.
• B.The HBase shell is a command-line tool that performs administrative tasks, such as creating and deleting tables.
• C.The HBase shell is a hypervisor based shell that performs administrative tasks, such as creating and deleting new virtualized instances.
• D.The HBase shell is a command-line tool that performs only user account management functions to grant access to Cloud Bigtable instances.

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Your company is running their first dynamic campaign, serving different offers by analyzing real-time data during the holiday season. The data scientists are collecting terabytes of data that rapidly grows every hour during their 30-day campaign. They are using Google Cloud Dataflow to preprocess the data and collect the feature (signals) data that is needed for the machine learning model in Google Cloud Bigtable. The team is observing suboptimal performance with reads and writes of their initial load of 10 TB of data. They want to improve this performance while minimizing cost. What should they do?

• A.Redesign the schema to use row keys based on numeric IDs that increase sequentially per user viewing the offers.
• B.Redesign the schema to use a single row key to identify values that need to be updated frequently in the cluster.
• C.The performance issue should be resolved over time as the site of the BigDate cluster is increased.
• D.Redefine the schema by evenly distributing reads and writes across the row space of the table.

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An aerospace company uses a proprietary data format to store its night dat
a. You need to connect this new data source to BigQuery and stream the data into BigQuery. You want to efficiency import the data into BigQuery where consuming as few resources as possible. What should you do?

• A.Use a standard Dataflow pipeline to store the raw data in BigQuery and then transform the format later when the data is used.
• B.Write a shell script that triggers a Cloud Function that performs periodic ETL batch jobs on the new data source
• C.Use an Apache Beam custom connector to write a Dataflow pipeline that streams the data into BigQuery in Avro format
• D.Use Apache Hive to write a Dataproc job that streams the data into BigQuery in CSV format

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You work for a manufacturing plant that batches application log files together into a single log file once a day at 2:00 AM. You have written a Google Cloud Dataflow job to process that log file. You need to make sure the log file in processed once per day as inexpensively as possible. What should you do?

• A.Create a cron job with Google App Engine Cron Service to run the Cloud Dataflow job.
• B.Configure the Cloud Dataflow job as a streaming job so that it processes the log data immediately.
• C.Change the processing job to use Google Cloud Dataproc instead.
• D.Manually start the Cloud Dataflow job each morning when you get into the office.

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