- A
BigLake requires data to be loaded into BigQuery storage.
Why wrong: BigLake queries data in place; it does not require loading.
- B
BigLake tables allow querying data in Cloud Storage using BigQuery without loading into BigQuery storage.
BigLake tables are external tables that can query data directly from GCS.
- C
BigLake only supports structured data in BigQuery storage.
Why wrong: BigLake supports open formats in GCS, not only BigQuery storage.
- D
BigLake supports row-level and column-level security.
BigLake provides fine-grained access control including row and column level.
- E
BigLake automatically converts CSV files to Parquet.
Why wrong: BigLake does not convert file formats.
Question 140 of 1,000
PDE Storing the Data Practice Question
This PDE practice question tests your understanding of storing 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.
A company is designing a data lake on Cloud Storage with BigLake tables for unified governance. Which TWO statements about BigLake are correct? (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
✓
BigLake tables allow querying data in Cloud Storage using BigQuery without loading into BigQuery storage.
BigLake tables allow you to query data directly in Cloud Storage using BigQuery without the need to first load the data into BigQuery storage. This enables a data lake architecture where the data remains in an open format in Cloud Storage, while BigLake provides unified governance and fine-grained access control.
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.
- ✗
BigLake requires data to be loaded into BigQuery storage.
Why it's wrong here
BigLake queries data in place; it does not require loading.
- ✓
BigLake tables allow querying data in Cloud Storage using BigQuery without loading into BigQuery storage.
Why this is correct
BigLake tables are external tables that can query data directly from GCS.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
BigLake only supports structured data in BigQuery storage.
Why it's wrong here
BigLake supports open formats in GCS, not only BigQuery storage.
- ✓
BigLake supports row-level and column-level security.
Why this is correct
BigLake provides fine-grained access control including row and column level.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
BigLake automatically converts CSV files to Parquet.
Why it's wrong here
BigLake does not convert file formats.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Cisco often tests the misconception that BigLake requires data to be loaded into BigQuery storage, when in fact it is designed to query external data in Cloud Storage directly.
Detailed technical explanation
How to think about this question
BigLake uses a BigQuery connection to Cloud Storage and leverages the BigQuery Storage API for reading data. It supports fine-grained access control at the row and column level through BigQuery's security policies, which are enforced at query time. In a real-world scenario, you might have a data lake with petabytes of CSV or Parquet files in Cloud Storage, and BigLake allows you to apply consistent governance across those files without moving them.
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.
- →
Storing the Data — study guide chapter
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Storing the Data practice questions
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FAQ
Questions learners often ask
What does this PDE question test?
Storing the Data — This question tests Storing the Data — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: BigLake tables allow querying data in Cloud Storage using BigQuery without loading into BigQuery storage. — BigLake tables allow you to query data directly in Cloud Storage using BigQuery without the need to first load the data into BigQuery storage. This enables a data lake architecture where the data remains in an open format in Cloud Storage, while BigLake provides unified governance and fine-grained access control.
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.
About these practice questions
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Last reviewed: Jul 4, 2026
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.
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