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NEW QUESTION 35 Your infrastructure includes a set of YouTube channels. You have been tasked with creating a process for sending the YouTube channel data to Google Cloud for analysis. You want to design a solution that allows your world-wide marketing teams to perform ANSI SQL and other types of analysis on up-to-date YouTube channels log data. How should you set up the log data transfer into Google Cloud?

• A. Use BigQuery Data Transfer Service to transfer the offsite backup files to a Cloud Storage Regional storage bucket as a final destination.
• B. Use BigQuery Data Transfer Service to transfer the offsite backup files to a Cloud Storage Multi- Regional storage bucket as a final destination.
• C. Use Storage Transfer Service to transfer the offsite backup files to a Cloud Storage Multi-Regional storage bucket as a final destination.
• D. Use Storage Transfer Service to transfer the offsite backup files to a Cloud Storage Regional bucket as a final destination.

Answer: B   NEW QUESTION 36 By default, which of the following windowing behavior does Dataflow apply to unbounded data sets?

• A. Single, Global Window
• B. Windows at every 10 minutes
• C. Windows at every 1 minute
• D. Windows at every 100 MB of data

Answer: A Explanation: Dataflow's default windowing behavior is to assign all elements of a PCollection to a single, global window, even for unbounded PCollections   NEW QUESTION 37 Your company is in a highly regulated industry. One of your requirements is to ensure individual users have access only to the minimum amount of information required to do their jobs. You want to enforce this requirement with Google BigQuery. Which three approaches can you take? (Choose three.)

• A. Restrict BigQuery API access to approved users.
• B. Restrict access to tables by role.
• C. Disable writes to certain tables.
• D. Use Google Stackdriver Audit Logging to determine policy violations.
• E. Ensure that the data is encrypted at all times.
• F. Segregate data across multiple tables or databases.

Answer: A,B,D Explanation: bigquery.tables.create Create new tables. bigquery.tables.delete Delete tables. bigquery.tables.export Export table data out of BigQuery. bigquery.tables.get Get table metadata. To get table data, you need bigquery.tables.getData. bigquery.tables.getData Get table data. This permission is required for querying table data. To get table metadata, you need bigquery.tables.get. bigquery.tables.list List tables and metadata on tables. bigquery.tables.setCategory Set policy tags in table schema. bigquery.tables.update Update table metadata. To update table data, you need bigquery.tables.updateData. bigquery.tables.updateData Update table data. To update table metadata, you need bigquery.tables.update.   NEW QUESTION 38 You are designing a basket abandonment system for an ecommerce company. The system will send a message to a user based on these rules: - No interaction by the user on the site for 1 hour - Has added more than $30 worth of products to the basket - Has not completed a transaction You use Google Cloud Dataflow to process the data and decide if a message should be sent. How should you design the pipeline?

• A. Use a session window with a gap time duration of 60 minutes.
• B. Use a sliding time window with a duration of 60 minutes.
• C. Use a global window with a time based trigger with a delay of 60 minutes.
• D. Use a fixed-time window with a duration of 60 minutes.

Answer: A Explanation: It will send a message per user after that user is inactive for 60 minutes. Session window works well for capturing a session per user basis.   NEW QUESTION 39 ......