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Google GCP-DE Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Designing data processing systems | 20% | - Data pipeline architecture design
|
| Topic 2: Operationalizing data and ML pipelines | 30% | - Monitoring and troubleshooting
|
| Topic 3: Maintaining and optimizing data and ML solutions | 20% | - Machine learning integration
|
| Topic 4: Building and operationalizing data processing systems | 30% | - Data pipeline implementation
|
Google Data Engineer Sample Questions:
Which of the following job types are supported by Cloud Dataproc (select 3 answers)?
- A. Hive
- B. Pig
- C. YARN
- D. Spark
Correct Answer: A,B,D 🗳️
Explanation: Only visible for GuideTorrent members. You can sign-up / login (it's free).
You have historical data covering the last three years in BigQuery and a data pipeline that delivers new data to BigQuery daily. You have noticed that when the Data Science team runs a query filtered on a date column and limited to 30-90 days of data, the query scans the entire table. You also noticed that your bill is increasing more quickly than you expected. You want to resolve the issue as cost-effectively as possible while maintaining the ability to conduct SQL queries. What should you do?
- A. Modify your pipeline to maintain the last 30-90 days of data in one table and the longer history in a different table to minimize full table scans over the entire history.
- B. Partition the tables by a column containing a TIMESTAMP or DATE Type.
- C. Write an Apache Beam pipeline that creates a BigQuery table per data
- D. Recommend that the Data Science team export the table to a CSV file on Cloud Storage and use Cloud Datalab to explore the data by reading the files directly.
- E. Re-create the tables using DD
- F. Recommend that the Data Science team use wildcards on the table name suffixes to select the data they need.
Correct Answer: D 🗳️
What are two methods that can be used to denormalize tables in BigQuery?
- A. 1) Use nested repeated fields; 2) Use a partitioned table
- B. 1) Join tables into one table; 2) Use nested repeated fields
- C. 1) Use a partitioned table; 2) Join tables into one table
- D. 1) Split table into multiple tables; 2) Use a partitioned table
Correct Answer: B 🗳️
Explanation: Only visible for GuideTorrent members. You can sign-up / login (it's free).
Each analytics team in your organization is running BigQuery jobs in their own projects. You want to enable each team to monitor slot usage within their projects. What should you do?
- A. Create a Stackdriver Monitoring dashboard based on the BigQuery metric query/scanned_bytes
- B. Create a log export for each project, capture the BigQuery job execution logs, create a custom metric based on the totalSlotMs, and create a Stackdriver Monitoring dashboard based on the custom metric
- C. Create an aggregated log export at the organization level, capture the BigQuery job execution logs, create a custom metric based on the totalSlotMs, and create a Stackdriver Monitoring dashboard based on the custom metric
- D. Create a Stackdriver Monitoring dashboard based on the BigQuery metric slots/allocated_for_project
Correct Answer: C 🗳️
You have developed three data processing jobs. One executes a Cloud Dataflow pipeline that transforms data uploaded to Cloud Storage and writes results to BigQuery. The second ingests data from on-premises servers and uploads it to Cloud Storage. The third is a Cloud Dataflow pipeline that gets information from third-party data providers and uploads the information to Cloud Storage. You need to be able to schedule and monitor the execution of these three workflows and manually execute them when needed. What should you do?
- A. Create a Direct Acyclic Graph in Cloud Composer to schedule and monitor the jobs.
- B. Set up cron jobs in a Compute Engine instance to schedule and monitor the pipelines using GCP API calls.
- C. Develop an App Engine application to schedule and request the status of the jobs using GCP API calls.
- D. Use Stackdriver Monitoring and set up an alert with a Webhook notification to trigger the jobs.
Correct Answer: B 🗳️
