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Home > Google > Google Certifications > PROFESSIONAL-DATA-ENGINEER
Google PROFESSIONAL-DATA-ENGINEER  Exam Questions & Answers
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Google PROFESSIONAL-DATA-ENGINEER Exam Questions & Answers


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  • Vendor: Google

    Exam Code: PROFESSIONAL-DATA-ENGINEER

    Exam Name: Professional Data Engineer on Google Cloud Platform

    Certification Provider: Google

    Total Questions: 331 Q&A ( View Details)

    Updated on: May 31, 2026

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PROFESSIONAL-DATA-ENGINEER Online Practice Questions and Answers

Questions 1

You are building new real-time data warehouse for your company and will use Google BigQuery streaming inserts. There is no guarantee that data will only be sent in once but you do have a unique ID for each row of data and an event timestamp. You want to ensure that duplicates are not included while interactively querying data. Which query type should you use?

A. Include ORDER BY DESK on timestamp column and LIMIT to 1.

B. Use GROUP BY on the unique ID column and timestamp column and SUM on the values.

C. Use the LAG window function with PARTITION by unique ID along with WHERE LAG IS NOT NULL.

D. Use the ROW_NUMBER window function with PARTITION by unique ID along with WHERE row equals 1.

Show Answer

Correct Answer: D

https://cloud.google.com/bigquery/docs/reference/standard-sql/analytic-function-concepts

Questions 2

Which TensorFlow function can you use to configure a categorical column if you don't know all of the possible values for that column?

A. categorical_column_with_vocabulary_list

B. categorical_column_with_hash_bucket

C. categorical_column_with_unknown_values

D. sparse_column_with_keys

Show Answer

Correct Answer: B

If you know the set of all possible feature values of a column and there are only a few of them, you can use categorical_column_with_vocabulary_list. Each key in the list will get assigned an auto-incremental ID starting from 0. What if we don't know the set of possible values in advance? Not a problem. We can use categorical_column_with_hash_bucket instead. What will happen is that each possible value in the feature column occupation will be hashed to an integer ID as we encounter them in training. Reference: https://www.tensorflow.org/tutorials/wide

Questions 3

Which of these statements about exporting data from BigQuery is false?

A. To export more than 1 GB of data, you need to put a wildcard in the destination filename.

B. The only supported export destination is Google Cloud Storage.

C. Data can only be exported in JSON or Avro format.

D. The only compression option available is GZIP.

Show Answer More Questions

Correct Answer: C

Data can be exported in CSV, JSON, or Avro format. If you are exporting nested or repeated data, then CSV format is not supported. Reference: https://cloud.google.com/bigquery/docs/exporting-data

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