Cloud Digital Leader Fundamental Cloud Concepts Practice Question
A data engineer needs to process a large dataset stored in Cloud Storage using Apache Spark. They want to minimize cluster management overhead. Which TWO Google Cloud services can be used together to achieve this? (Choose 2.)
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Dataproc
Dataproc is the managed Spark service. Cloud Storage can be used as a data source. Dataproc can read directly from Cloud Storage without needing HDFS.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Cloud SQL
Why it's wrong here
Cloud SQL is a relational database.
- ✗
BigQuery
Why it's wrong here
BigQuery is for SQL, not Spark.
- ✗
Dataflow
Why it's wrong here
Dataflow is for Apache Beam, not Spark.
- ✓
Dataproc
Why this is correct
Dataproc is the managed Spark service.
- ✓
Cloud Storage
Why this is correct
Cloud Storage serves as the data lake.
Go deeper
Related to this question
Learn chapter
Cloud Digital Transformation
Key term
Data
Data is raw, unprocessed information, like numbers, words, or measurements, that can be stored, processed, and analyzed by computers.
Key term
Dataproc
Dataproc is a managed cloud service for running Apache Spark and Apache Hadoop clusters, allowing you to process large datasets quickly and economically.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This GCDL practice question is part of Courseiva's free Google Cloud certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the GCDL exam.