GCP Data Engineer Practice

Practice 60 original Google Cloud Professional Data Engineer questions covering storage, pipelines, ML analytics, security, reliability and architecture, with detailed explanations.

Level: Google Cloud Professional Data Engineer Difficulty: advanced 60 questions 60 min
Choose a practice mode, answer each GCP Data Engineer question, then review the explanation. Wrong answers are saved locally for review.
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Question 1

What is BigQuery?

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Question 2

What is Cloud Storage?

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Question 3

What is Pub/Sub?

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Question 4

What is Dataflow?

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Question 5

What is Dataproc?

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Question 6

What is Cloud Bigtable?

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Question 7

What is Cloud SQL?

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Question 8

What is Firestore?

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Question 9

What is Cloud Spanner?

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Question 10

Match each storage concept to its purpose.

Question 11

Which service is commonly used to build ETL pipelines in Google Cloud?

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Question 12

What is Cloud Composer?

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Question 13

What are ephemeral Dataproc clusters?

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Question 14

What is Cloud Scheduler?

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Question 15

What are Cloud Functions?

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Question 16

What is a Pub/Sub push subscription?

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Question 17

What can trigger a Cloud Function in Cloud Storage?

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Question 18

What are Dataflow templates?

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Question 19

What is a BigQuery load job?

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Question 20

Match each pipeline concept to its purpose.

Question 21

What is BigQuery ML?

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Question 22

What is Vertex AI?

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Question 23

What is Looker Studio?

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Question 24

What are Vertex AI notebooks?

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Question 25

Why split data into training and evaluation sets?

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Question 26

What is batch prediction?

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Question 27

What is a feature store?

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Question 28

What is a model registry?

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Question 29

What is hyperparameter tuning?

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Question 30

Match each ML concept to its purpose.

Question 31

Which service controls permissions in Google Cloud?

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Question 32

What is Cloud KMS?

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Question 33

What is Cloud DLP?

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Question 34

What is VPC Service Controls?

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Question 35

What is a customer-managed encryption key?

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Question 36

What is a retention policy?

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Question 37

What are Cloud Audit Logs?

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Question 38

What is an organization policy?

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Question 39

Why use private connectivity for data services?

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Question 40

Match each security concept to its purpose.

Question 41

What is Cloud Monitoring?

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Question 42

What is Cloud Logging?

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Question 43

What is a quota?

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Question 44

What is object lifecycle management?

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Question 45

What is a budget alert?

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Question 46

What is a region?

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Question 47

Why use retry policies?

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Question 48

What is idempotency?

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Question 49

Why back up data?

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Question 50

Match each reliability concept to its purpose.

Question 51

What is batch processing?

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Question 52

What is streaming processing?

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Question 53

What is table partitioning?

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Question 54

What is table clustering?

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Question 55

What is schema evolution?

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Question 56

What is a data lake?

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Question 57

What is a star schema?

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Question 58

What is data governance?

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Question 59

What is Data Catalog?

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Question 60

Match each architecture concept to its purpose.