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Google Cloud Data Engineer Professional Exam

Certification Provider: Google
Exam Name: Google Cloud Data Engineer Professional
Duration: 120 Minutes
Number of questions in our database: 269
Exam Version: Jun. 29, 2022
Exam Official Topics:
  • Topic 1: Designing Data Processing Systems/ Flexible Data Representation
  • Topic 2: Building and Maintaining Data Structures and Databases
  • Topic 3: Analyzing Data and Enabling Machine Learning
  • Topic 4: Modeling Business Processes for Analysis and Optimization
  • Topic 5: Visualizing Data and Advocating Policy/ Automation/ Decision Support/ Data Summarization
  • Topic 6: Designing and Security Compliance/ Secure Data Infrastructure and Processes

Free Google Google Cloud Data Engineer Professional Exam Actual Questions

The questions for Google Cloud Data Engineer Professional were last updated On Jun. 29, 2022

Question #1

You are building a data pipeline on Google Cloud. You need to prepare data using a casual method for a

machine-learning process. You want to support a logistic regression model. You also need to monitor and

adjust for null values, which must remain real-valued and cannot be removed. What should you do?

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Correct Answer: C

Question #2

You are managing a Cloud Dataproc cluster. You need to make a job run faster while minimizing costs, without losing work in progress on your clusters. What should you do?

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Correct Answer: D

Question #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?

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Correct Answer: D

Question #4

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?

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Correct Answer: D

Question #5

You have Cloud Functions written in Node.js that pull messages from Cloud Pub/Sub and send the data to BigQuery. You observe that the message processing rate on the Pub/Sub topic is orders of magnitude higher than anticipated, but there is no error logged in Stackdriver Log Viewer. What are the two most likely causes of this problem? Choose 2 answers.

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Correct Answer: C, D


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