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2025 New Professional-Data-Engineer Test Question | Perfect Google Certified Professional Data Engineer Exam 100% Free PDF Download
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Google Certified Professional Data Engineer Exam Sample Questions (Q101-Q106):
NEW QUESTION # 101
You want to analyze hundreds of thousands of social media posts daily at the lowest cost and with the fewest steps.
You have the following requirements:
* You will batch-load the posts once per day and run them through the Cloud Natural Language API.
* You will extract topics and sentiment from the posts.
* You must store the raw posts for archiving and reprocessing.
* You will create dashboards to be shared with people both inside and outside your organization.
You need to store both the data extracted from the API to perform analysis as well as the raw social media posts for historical archiving. What should you do?
- A. Store the social media posts and the data extracted from the API in BigQuery.
- B. Store the social media posts and the data extracted from the API in Cloud SQL.
- C. Store the raw social media posts in Cloud Storage, and write the data extracted from the API into BigQuery.
- D. Feed to social media posts into the API directly from the source, and write the extracted data from the API into BigQuery.
Answer: C
Explanation:
Social media posts can images/videos which cannot be stored in bigquery/
NEW QUESTION # 102
You are designing storage for very large text files for a data pipeline on Google Cloud. You want to support ANSI SQL queries. You also want to support compression and parallel load from the input locations using Google recommended practices. What should you do?
- A. Compress text files to gzip using the Grid Computing Tools. Use Cloud Storage, and then import into Cloud Bigtable for query.
- B. Transform text files to compressed Avro using Cloud Dataflow. Use BigQuery for storage and query.
- C. Transform text files to compressed Avro using Cloud Dataflow. Use Cloud Storage and BigQuery permanent linked tables for query.
- D. Compress text files to gzip using the Grid Computing Tools. Use BigQuery for storage and query.
Answer: A
NEW QUESTION # 103
A TensorFlow machine learning model on Compute Engine virtual machines (n2-standard -32) takes two days to complete framing. The model has custom TensorFlow operations that must run partially on a CPU You want to reduce the training time in a cost-effective manner. What should you do?
- A. Train the model using a VM with a TPU hardware accelerator
- B. Change the VM type to n2-highmem-32
- C. Train the model using a VM with a GPU hardware accelerator
- D. Change the VM type to e2 standard-32
Answer: C
NEW QUESTION # 104
You want to automate execution of a multi-step data pipeline running on Google Cloud. The pipeline includes Cloud Dataproc and Cloud Dataflow jobs that have multiple dependencies on each other. You want to use managed services where possible, and the pipeline will run every day. Which tool should you use?
- A. Cloud Scheduler
- B. Cloud Composer
- C. cron
- D. Workflow Templates on Cloud Dataproc
Answer: B
NEW QUESTION # 105
You are building a model to make clothing recommendations. You know a user's fashion pis likely to change over time, so you build a data pipeline to stream new data back to the model as it becomes available. How should you use this data to train the model?
- A. Continuously retrain the model on a combination of existing data and the new data.
- B. Train on the new data while using the existing data as your test set.
- C. Train on the existing data while using the new data as your test set.
- D. Continuously retrain the model on just the new data.
Answer: B
NEW QUESTION # 106
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