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Google Data Engineer Sample Questions:

1. You are operating a Cloud Dataflow streaming pipeline. The pipeline aggregates events from a Cloud Pub/Sub subscription source, within a window, and sinks the resulting aggregation to a Cloud Storage bucket. The source has consistent throughput. You want to monitor an alert on behavior of the pipeline with Cloud Stackdriver to ensure that it is processing dat a. Which Stackdriver alerts should you create?

A) An alert based on an increase of instance/storage/used_bytes for the source and a rate of change decrease of subscription/num_undelivered_messages for the destination
B) An alert based on an increase of subscription/num_undelivered_messages for the source and a rate of change decrease of instance/storage/used_bytes for the destination
C) An alert based on a decrease of instance/storage/used_bytes for the source and a rate of change increase of subscription/num_undelivered_messages for the destination
D) An alert based on a decrease of subscription/num_undelivered_messages for the source and a rate of change increase of instance/storage/used_bytes for the destination

2. You are responsible for writing your company's ETL pipelines to run on an Apache Hadoop cluster. The pipeline will require some checkpointing and splitting pipelines. Which method should you use to write the pipelines?

A) PigLatin using Pig
B) Python using MapReduce
C) Java using MapReduce
D) HiveQL using Hive

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

4. You used Cloud Dataprep to create a recipe on a sample of data in a BigQuery table. You want to reuse this recipe on a daily upload of data with the same schema, after the load job with variable execution time completes. What should you do?

A) Export the recipe as a Cloud Dataprep template, and create a job in Cloud Scheduler.
B) Create an App Engine cron job to schedule the execution of the Cloud Dataprep job.
C) Export the Cloud Dataprep job as a Cloud Dataflow template, and incorporate it into a Cloud Composer job.
D) Create a cron schedule in Cloud Dataprep.

5. Which of these rules apply when you add preemptible workers to a Dataproc cluster (select 2 answers)?

A) Preemptible workers cannot use persistent disk.
B) Preemptible workers cannot store data.
C) A Dataproc cluster cannot have only preemptible workers.
D) If a preemptible worker is reclaimed, then a replacement worker must be added manually.

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