Exam Name: Data Engineer
Certification Provider: Google
Corresponding Certification: Google Cloud Certified
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Google GCP-DE Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Maintaining and optimizing data and ML solutions | 20% | - Security and governance
|
| Topic 2: Designing data processing systems | 20% | - Data pipeline architecture design
|
| Topic 3: Building and operationalizing data processing systems | 30% | - Data pipeline implementation
|
| Topic 4: Operationalizing data and ML pipelines | 30% | - Pipeline automation and orchestration
|
Google Data Engineer Sample Questions:
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. Use the tagging and confidence levels to either pass or quarantine the data in a bucket for review.
- B. Create an authorized view in BigQuery to restrict access to tables with sensitive data.
- C. Build a Cloud Function that reads the topics and makes a call to the Cloud Data Loss Prevention AP
- D. Use Stackdriver logging to analyze the data passed through the total pipeline to identify transactions that may contain sensitive information.
- E. Install a third-party data validation tool on Compute Engine virtual machines to check the incoming data for sensitive information.
Correct Answer: B 🗳️
You are designing the database schema for a machine learning-based food ordering service that will predict what users want to eat. Here is some of the information you need to store:
The user profile: What the user likes and doesn't like to eat
The user account information: Name, address, preferred meal times
The order information: When orders are made, from where, to whom
The database will be used to store all the transactional data of the product. You want to optimize the data schem a. Which Google Cloud Platform product should you use?
- A. Cloud SQL
- B. Cloud Datastore
- C. BigQuery
- D. Cloud Bigtable
Correct Answer: C 🗳️
What are two methods that can be used to denormalize tables in BigQuery?
- A. 1) Use a partitioned table; 2) Join tables into one table
- B. 1) Join tables into one table; 2) Use nested repeated fields
- C. 1) Split table into multiple tables; 2) Use a partitioned table
- D. 1) Use nested repeated fields; 2) Use a partitioned table
Correct Answer: B 🗳️
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You are implementing several batch jobs that must be executed on a schedule. These jobs have many interdependent steps that must be executed in a specific order. Portions of the jobs involve executing shell scripts, running Hadoop jobs, and running queries in BigQuery. The jobs are expected to run for many minutes up to several hours. If the steps fail, they must be retried a fixed number of times. Which service should you use to manage the execution of these jobs?
- A. Cloud Scheduler
- B. Cloud Composer
- C. Cloud Functions
- D. Cloud Dataflow
Correct Answer: A 🗳️
You have a data stored in BigQuery. The data in the BigQuery dataset must be highly available. You need to define a storage, backup, and recovery strategy of this data that minimizes cost. How should you configure the BigQuery table?
- A. Set the BigQuery dataset to be multi-regional
- B. Set the BigQuery dataset to be multi-regional
- C. In the event of an emergency, use the backup copy of the table.
- D. In the event of an emergency, use a point-in-time snapshot to recover the data.
- E. Create a scheduled query to make copies of the data to tables suffixed with the time of the backup
- F. In the event of an emergency, use the backup copy of the table.
- G. In the event of an emergency, use a point-in-time snapshot to recover the data.
- H. Create a scheduled query to make copies of the data to tables suffixed with the time of the backu
- I. Set the BigQuery dataset to be regiona
- J. Set the BigQuery dataset to be regiona
Correct Answer: D 🗳️
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