Google Cloud Professional Data Engineer Practice Exam 100 Questions And Correct Answers (Verified Answers) Plus Rationales 2026 Q&A | Instant Download Pdf
- Which GCP service is best suited for building machine learning models at
- Cloud Datastore
- AI Platform
- Cloud Spanner
- Cloud SQL
scale?
AI Platform provides managed services for training, tuning, and deploying ML models at scale on GCP.
- Which service should you use for real-time streaming data ingestion?
- Cloud Storage
- Cloud Pub/Sub
- BigQuery 1 / 4
- Dataflow
Cloud Pub/Sub enables real-time ingestion of streaming data through publish-subscribe messaging.
- You need to store massive amounts of structured data with strong
- Cloud SQL
- BigQuery
- Cloud Spanner
- Firestore
consistency and high availability globally. Which service should you choose?
Cloud Spanner is designed for globally distributed relational databases with strong consistency and scalability.
- You want to analyze petabytes of data using standard SQL queries.
- Cloud Datastore
- Cloud SQL
- BigQuery
- Dataflow
Which GCP service fits best?
BigQuery is GCP’s serverless, scalable data warehouse optimized for analytical SQL queries. 2 / 4
- What is the default storage type for BigQuery tables?
- Cloud Storage
- Cloud SQL
- Colossus (GCP’s distributed storage layer)
D. HDFS
BigQuery uses Colossus as its underlying distributed storage system for durability and scalability.
- You need to transform streaming data before analysis. Which tool
- BigQuery
- Dataprep
- Dataflow
- Cloud Composer
should you use?
Dataflow processes both batch and streaming data using Apache Beam pipelines.
- Which service enables orchestration of data pipelines in GCP?
- Dataflow
- Dataproc
- Cloud Composer 3 / 4
- BigQuery
Cloud Composer (built on Apache Airflow) manages and schedules complex data workflows.
- You need to store semi-structured JSON data and perform key-based
- Cloud SQL
- Firestore
- BigQuery
- Dataproc
lookups. Which service fits best?
Firestore is a NoSQL document database optimized for JSON-like data and indexed key-based queries.
- Which of the following supports both batch and streaming data
- Dataproc
- Dataflow
- BigQuery
- Pub/Sub
- / 4
processing?
Dataflow supports both batch and streaming through Apache Beam’s unified model.