- A
The materialized view does not support streaming buffer tables.
Materialized views require data to be committed to storage; streaming buffer data is not yet committed.
- B
The automatic refresh interval has been exceeded due to high query load.
Why wrong: Automatic refresh may be delayed but not stopped entirely.
- C
The materialized view has reached the maximum number of partitions allowed.
Why wrong: Materialized views have a partition limit, but the symptom is about new data not appearing, not an error.
- D
The base table's schema has changed, making the materialized view incompatible.
Why wrong: Schema changes can cause issues, but the materialized view would fail to refresh, not just miss new data.
PCDE Practice Question: Define data structures and implement SQL for Business Intelligence
This PCDE practice question tests your understanding of define data structures and implement sql for business intelligence. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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 uses BigQuery for BI reporting. They have a materialized view that refreshes automatically to provide pre-aggregated sales data. Recently, the materialized view stopped reflecting new data inserted into the base table. The base table is a streaming buffer table with ingestion-time partitioning. What is the most likely reason?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"most likely"Why it matters: Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
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
The materialized view does not support streaming buffer tables.
Materialized views in BigQuery do not support base tables that use a streaming buffer, such as ingestion-time partitioned tables. The streaming buffer contains data that has not yet been committed to managed storage, and materialized views can only read from committed storage. Therefore, when new data is inserted into the streaming buffer, the materialized view cannot reflect it until the data is flushed from the buffer, which can cause the view to appear stale or stop reflecting new data entirely.
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.
- ✓
The materialized view does not support streaming buffer tables.
Why this is correct
Materialized views require data to be committed to storage; streaming buffer data is not yet committed.
Clue confirmation
The clue word "most likely" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
The automatic refresh interval has been exceeded due to high query load.
Why it's wrong here
Automatic refresh may be delayed but not stopped entirely.
- ✗
The materialized view has reached the maximum number of partitions allowed.
Why it's wrong here
Materialized views have a partition limit, but the symptom is about new data not appearing, not an error.
- ✗
The base table's schema has changed, making the materialized view incompatible.
Why it's wrong here
Schema changes can cause issues, but the materialized view would fail to refresh, not just miss new data.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Google Cloud often tests the misconception that materialized views automatically reflect all data in the base table, including uncommitted streaming buffer data, when in fact they only read from committed storage.
Detailed technical explanation
How to think about this question
BigQuery's streaming buffer is a temporary, write-optimized storage layer that holds data for up to 90 minutes before it is committed to managed storage. Materialized views are precomputed views that read only from committed storage, so any data still in the streaming buffer is invisible to the materialized view. This behavior is by design to ensure consistency and avoid reading uncommitted data, which can lead to a situation where the materialized view appears to lag behind the base table, especially under continuous streaming loads.
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.
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FAQ
Questions learners often ask
What does this PCDE question test?
Define data structures and implement SQL for Business Intelligence — This question tests Define data structures and implement SQL for Business Intelligence — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: The materialized view does not support streaming buffer tables. — Materialized views in BigQuery do not support base tables that use a streaming buffer, such as ingestion-time partitioned tables. The streaming buffer contains data that has not yet been committed to managed storage, and materialized views can only read from committed storage. Therefore, when new data is inserted into the streaming buffer, the materialized view cannot reflect it until the data is flushed from the buffer, which can cause the view to appear stale or stop reflecting new data entirely.
What should I do if I get this PCDE question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Are there clue words in this question I should notice?
Yes — watch for: "most likely". Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
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: Jun 30, 2026
This PCDE 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 PCDE exam.
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