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Google Certified Professional Data Engineer Exam Sample Questions (Q90-Q95):

NEW QUESTION # 90
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 global window with a time based trigger with a delay of 60 minutes.
• B. Use a session window with a gap time duration of 60 minutes.
• C. Use a sliding time window with a duration of 60 minutes.
• D. Use a fixed-time window with a duration of 60 minutes.

Answer: A

NEW QUESTION # 91
Government regulations in your industry mandate that you have to maintain an auditable record of access to certain types of datA. Assuming that all expiring logs will be archived correctly, where should you store data that is subject to that mandate?

• A. In Cloud SQL, with separate database user names to each user. The Cloud SQL Admin activity logs will be used to provide the auditability.
• B. In a bucket on Cloud Storage that is accessible only by an AppEngine service that collects user information and logs the access before providing a link to the bucket.
• C. Encrypted on Cloud Storage with user-supplied encryption keys. A separate decryption key will be given to each authorized user.
• D. In a BigQuery dataset that is viewable only by authorized personnel, with the Data Access log used to provide the auditability.

Answer: D

NEW QUESTION # 92
Your company needs to upload their historic data to Cloud Storage. The security rules don't allow access from external IPs to their on-premises resources. After an initial upload, they will add new data from existing on-premises applications every day. What should they do?

• A. Execute gsutil rsyncfrom the on-premises servers.
• B. Use Cloud Dataflow and write the data to Cloud Storage.
• C. Install an FTP server on a Compute Engine VM to receive the files and move them to Cloud Storage.
• D. Write a job template in Cloud Dataproc to perform the data transfer.

Answer: B

NEW QUESTION # 93
Your weather app queries a database every 15 minutes to get the current temperature. The frontend is
powered by Google App Engine and server millions of users. How should you design the frontend to
respond to a database failure?

• A. Issue a command to restart the database servers.
• B. Retry the query every second until it comes back online to minimize staleness of data.
• C. Reduce the query frequency to once every hour until the database comes back online.
• D. Retry the query with exponential backoff, up to a cap of 15 minutes.

Answer: D

NEW QUESTION # 94
You architect a system to analyze seismic dat
a. Your extract, transform, and load (ETL) process runs as a series of MapReduce jobs on an Apache Hadoop cluster. The ETL process takes days to process a data set because some steps are computationally expensive. Then you discover that a sensor calibration step has been omitted. How should you change your ETL process to carry out sensor calibration systematically in the future?

• A. Modify the transformMapReduce jobs to apply sensor calibration before they do anything else.
• B. Develop an algorithm through simulation to predict variance of data output from the last MapReduce job based on calibration factors, and apply the correction to all data.
• C. Add sensor calibration data to the output of the ETL process, and document that all users need to apply sensor calibration themselves.
• D. Introduce a new MapReduce job to apply sensor calibration to raw data, and ensure all other MapReduce jobs are chained after this.

Answer: A

NEW QUESTION # 95
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