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GCDL Practice Question: A data analyst at a media company needs to run…
This GCDL practice question tests your understanding of a data analyst at a media company needs to run…. 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.
A data analyst at a media company needs to run complex SQL queries on petabytes of user engagement data to produce weekly reports. The dataset is stored in Google Cloud. Which Google Cloud product is purpose-built for this type of large-scale analytical SQL workload?
Answer choices
Why each option matters
Good practice is not just finding the correct option. The wrong answers often show the exact trap the exam wants you to fall into.
A
Distractor review
Cloud SQL, Google Cloud's managed relational database service
Cloud SQL is optimized for transactional (OLTP) workloads — low-latency individual reads and writes. It is not designed for analytical queries across petabytes of data and would perform very poorly at that scale.
B
Best answer
BigQuery, Google Cloud's serverless data warehouse for petabyte-scale analytical SQL
BigQuery is precisely designed for this use case. Its serverless architecture, columnar storage format, and distributed query engine make it ideal for analysts running complex SQL against massive datasets. The weekly report workload is a canonical BigQuery use case.
C
Distractor review
Cloud Bigtable, Google's NoSQL wide-column database
Cloud Bigtable is optimized for low-latency, high-throughput NoSQL workloads (time series, IoT data). It does not support SQL queries and is not designed for complex analytical reporting.
D
Distractor review
Firestore, Google Cloud's serverless NoSQL document database
Firestore stores JSON documents and is optimized for mobile/web applications requiring real-time sync. It does not support SQL and is not suited for petabyte-scale analytical queries.
Common exam trap
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Technical deep dive
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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.
- Use explanations to understand the rule behind the answer.
TExam Day Tips
- Underline the problem statement mentally.
- 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.
Related practice questions
Related GCDL practice-question pages
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More questions from this exam
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Question 1
A traditional retailer currently maintains its own data centers, purchasing servers every 3–5 years and paying for facilities, power, and staff regardless of demand. When it migrates its workloads to the public cloud, which change in cost model does it experience?
Question 2
An e-commerce company plans its infrastructure for peak shopping events (e.g., Black Friday) which drive 50× normal traffic. On-premises, they must maintain 50× capacity year-round. In the cloud, they provision 50× capacity only during peak periods. Which cloud characteristic enables this cost optimization?
Question 3
Which term describes the process by which organizations integrate digital technology into all areas of their business, fundamentally changing how they operate and deliver value to customers?
Question 4
When a company moves from maintaining its own data center to using Google Cloud, which operational responsibility does Google assume that the company previously managed?
Question 5
A hospital runs a patient records system that must remain on-premises due to strict regulatory data residency requirements. However, they also want to use cloud-based AI for diagnostic imaging analysis. Which cloud deployment model best describes their architecture?
Question 6
What is virtualization in the context of cloud computing, and why is it fundamental to how cloud providers deliver services?
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FAQ
Questions learners often ask
What does this GCDL question test?
Read the scenario before looking for a memorised answer.
What is the correct answer to this question?
The correct answer is: BigQuery, Google Cloud's serverless data warehouse for petabyte-scale analytical SQL — BigQuery is Google Cloud's fully managed, serverless data warehouse designed for analytical SQL at petabyte scale. It can query terabytes in seconds and petabytes in minutes using distributed query processing, with no infrastructure to manage. It is the go-to service for large-scale analytics workloads in Google Cloud.
What should I do if I get this GCDL question wrong?
Identify which GCDL exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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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.