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NEW QUESTION 54
You work for a shipping company that uses handheld scanners to read shipping labels. Your company has strict data privacy standards that require scanners to only transmit recipients' personally identifiable information (PII) to analytics systems, which violates user privacy rules. You want to quickly build a scalable solution using cloud-native managed services to prevent exposure of PII to the analytics systems.
What should you do?

• A. Create an authorized view in BigQuery to restrict access to tables with sensitive data.
• B. Build a Cloud Function that reads the topics and makes a call to the Cloud Data Loss Prevention API.
  Use the tagging and confidence levels to either pass or quarantine the data in a bucket for review.
• C. Use Stackdriver logging to analyze the data passed through the total pipeline to identify transactions that may contain sensitive information.
• D. Install a third-party data validation tool on Compute Engine virtual machines to check the incoming data for sensitive information.

Answer: B

NEW QUESTION 55
You launched a new gaming app almost three years ago. You have been uploading log files from the previous day to a separate Google BigQuery table with the table name format LOGS_yyyymmdd. You have been using table wildcard functions to generate daily and monthly reports for all time ranges. Recently, you discovered that some queries that cover long date ranges are exceeding the limit of 1,000 tables and failing. How can you resolve this issue?

• A. Convert the sharded tables into a single partitioned table
• B. Enable query caching so you can cache data from previous months
• C. Convert all daily log tables into date-partitioned tables
• D. Create separate views to cover each month, and query from these views

Answer: C

NEW QUESTION 56
How would you query specific partitions in a BigQuery table?

• A. Use DATE BETWEEN in the WHERE clause
• B. Use the __PARTITIONTIME pseudo-column in the WHERE clause
• C. Use the DAY column in the WHERE clause
• D. Use the EXTRACT(DAY) clause

Answer: B

Explanation:
Partitioned tables include a pseudo column named _PARTITIONTIME that contains a date-based timestamp for data loaded into the table. To limit a query to particular partitions (such as Jan 1st and 2nd of 2017), use a clause similar to this:
WHERE _PARTITIONTIME BETWEEN TIMESTAMP('2017-01-01') AND TIMESTAMP('2017-01-02')

NEW QUESTION 57
Which of these statements about exporting data from BigQuery is false?

• A. The only supported export destination is Google Cloud Storage.
• B. Data can only be exported in JSON or Avro format.
• C. The only compression option available is GZIP.
• D. To export more than 1 GB of data, you need to put a wildcard in the destination filename.

Answer: B

Explanation:
Data can be exported in CSV, JSON, or Avro format. If you are exporting nested or repeated data, then CSV format is not supported.

NEW QUESTION 58
You are building a model to make clothing recommendations. You know a user's fashion preference is likely to change over time, so you build a data pipeline to stream new data back to the model as it becomes available.
How should you use this data to train the model?

• A. Train on the existing data while using the new data as your test set.
• B. Train on the new data while using the existing data as your test set.
• C. Continuously retrain the model on just the new data.
• D. Continuously retrain the model on a combination of existing data and the new data.

Answer: B

NEW QUESTION 59
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