A media company stores large video files in a data lake on Cloud Storage. The finance team wants to track storage costs by department, and the operations team needs to be alerted if storage usage grows unexpectedly. The company uses Cloud Monitoring for other alerts. What should the data engineer do to meet both requirements?

Enable Object Lifecycle Management to delete old files and use Cloud Monitoring to alert on deletion events.

Use Cloud Billing reports to track costs and set a budget alert, but do not use Cloud Monitoring.

Create separate buckets per department and set up a Cloud Logging sink to track usage.

Apply labels to objects by department and create a Cloud Monitoring alert on the storage usage metric for the bucket.

A manufacturing company collects sensor data from machines and stores it in a data lake on Cloud Storage in JSON format. The data is used for real-time monitoring and historical analysis. The company wants to process the data as it arrives to detect anomalies and also make it available for batch analytics. What should the data engineer do?

Use Cloud Functions to process each file as it is uploaded to Cloud Storage and store results in BigQuery.

Use Dataproc to run Spark Streaming on the data in Cloud Storage.

Use Pub/Sub to ingest the data, then use Dataflow for streaming analytics and also write the raw data to Cloud Storage for batch analytics.

Use BigQuery to query the JSON files directly and rely on scheduled queries for monitoring.

Google CloudProfessional Data Engineer

Domain 3Objective 3

3.3 Using a Data Lake PROFESSIONAL-DATA-ENGINEER Practice Questions (Page 1)

Part of the Storing the data domain, which accounts for ~20% of the PROFESSIONAL-DATA-ENGINEER exam. Google Cloud does not publish an official question count, but from its 120-minute exam (~50–80 total, ~10–16 in this domain), expect 3–4 from this objective — we provide 16 practice questions to prepare you well beyond it. (estimate)

16questions here

4free pages

3concepts

~20%of the exam

Questions 1–5

1application · medium
A media company stores large video files in a data lake on Cloud Storage. The finance team wants to track storage costs by department, and the operations team needs to be alerted if storage usage grows unexpectedly. The company uses Cloud Monitoring for other alerts. What should the data engineer do to meet both requirements?
Select an answer first
2foundation · easy
A data engineer needs to monitor the health and performance of a Cloud Storage data lake, including metrics like request latency and error rates. Which Google Cloud service should they use to view these metrics?
Select an answer first
3application · medium
A manufacturing company collects sensor data from machines and stores it in a data lake on Cloud Storage in JSON format. The data is used for real-time monitoring and historical analysis. The company wants to process the data as it arrives to detect anomalies and also make it available for batch analytics. What should the data engineer do?
Select an answer first
4foundation · easy
A data engineer wants to process data in a data lake using SQL queries without provisioning any servers. Which Google Cloud service should they use?
Select an answer first
5foundation · easy
A data engineer wants to optimize the cost of a data lake by identifying which buckets are incurring the most storage costs. Which Google Cloud tool should they use to analyze cost data?
Select an answer first

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3.3 Using a Data Lake PROFESSIONAL-DATA-ENGINEER Practice Questions (Page 1)

Questions 1–5

A data engineer needs to monitor the health and performance of a Cloud Storage data lake, including metrics like request latency and error rates. Which Google Cloud service should they use to view these metrics?

A data engineer wants to process data in a data lake using SQL queries without provisioning any servers. Which Google Cloud service should they use?

A data engineer wants to optimize the cost of a data lake by identifying which buckets are incurring the most storage costs. Which Google Cloud tool should they use to analyze cost data?

Keep studying — Storing the data