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Ingesting and Processing the Data →easyMultiple ChoiceObjective-mapped

PDE Ingesting and Processing the Data Practice Question

This PDE practice question tests your understanding of ingesting and processing the data. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.

Your company is migrating an on-premises Hadoop cluster to Google Cloud. You need to transform large datasets using Spark SQL. Which Google Cloud service should you use?

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 and Hadoop service on Google Cloud, purpose-built for running existing Spark SQL workloads with minimal changes. It allows you to spin up a cluster, run your Spark SQL transformations on large datasets stored in Cloud Storage or BigQuery, and then tear it down, making it the direct equivalent of an on-premises Hadoop cluster in the cloud.

Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • ✗

    Dataflow

    Why it's wrong here

    Dataflow runs Apache Beam pipelines, not Spark code.

  • ✓

    Dataproc

    Why this is correct

    Dataproc provides managed Spark clusters where you can run Spark SQL, DataFrames, and RDDs.

    Related concept

    Read the scenario before looking for a memorised answer.

  • ✗

    BigQuery

    Why it's wrong here

    BigQuery is a serverless data warehouse; you cannot run Spark code on it.

  • ✗

    Cloud Dataprep

    Why it's wrong here

    Cloud Dataprep is a visual data preparation tool, not for Spark.

Common exam traps

Common exam trap: answer the scenario, not the keyword

Cisco often tests the distinction between managed Spark (Dataproc) and serverless SQL (BigQuery) or Beam-based processing (Dataflow), trapping candidates who see 'SQL' and immediately think of BigQuery without recognizing the Spark SQL execution context.

Detailed technical explanation

How to think about this question

Dataproc clusters run on Google Compute Engine VMs and can be configured with optional components like Jupyter, Zeppelin, or Presto. Under the hood, Dataproc uses the standard Spark resource manager (YARN or Kubernetes) and supports direct integration with Cloud Storage via the gs:// connector, which avoids HDFS replication overhead. In real-world migrations, teams often use Dataproc's 'single-node' mode for development and then scale to hundreds of nodes for production ETL, all while keeping their existing Spark SQL scripts unchanged.

KKey Concepts to Remember

  • Read the scenario before looking for a memorised answer.
  • Find the constraint that changes the correct option.
  • Eliminate answers that are true in general but not in this case.

TExam Day Tips

  • Watch for words such as best, first, most likely and least administrative effort.
  • Review why wrong options are wrong, not only why the correct option is correct.

Key takeaway

Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Real-world example

How this comes up in practice

A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.

What to study next

Got this wrong? Here's your next step.

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

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FAQ

Questions learners often ask

What does this PDE question test?

Ingesting and Processing the Data — This question tests Ingesting and Processing the Data — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Dataproc — Dataproc is the managed Spark and Hadoop service on Google Cloud, purpose-built for running existing Spark SQL workloads with minimal changes. It allows you to spin up a cluster, run your Spark SQL transformations on large datasets stored in Cloud Storage or BigQuery, and then tear it down, making it the direct equivalent of an on-premises Hadoop cluster in the cloud.

What should I do if I get this PDE question wrong?

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jul 4, 2026

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This PDE 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 PDE exam.