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.
Exhibit
Refer to the exhibit.
CREATE TABLE mydataset.fact_sales (
sale_id INT64,
product_id INT64,
sale_date DATE,
amount FLOAT64
)
PARTITION BY DATE_TRUNC(sale_date, MONTH)
CLUSTER BY product_id
OPTIONS(require_partition_filter=true);
A BI team queries this table with a WHERE clause that filters on product_id but does not include a sale_date filter. What is the outcome?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
The query fails with an error.
In a partitioned table (e.g., using Hive-style partitioning or a similar system like BigQuery or Snowflake), a WHERE clause that filters only on `product_id` without including the partition key `sale_date` forces a full scan of all partitions. However, if the table is defined with a strict partition pruning requirement (e.g., in Databricks or Spark SQL with dynamic partition pruning disabled, or in a system that requires the partition column in the filter), the query may fail with an error because the engine cannot determine which partitions to read without the partition key. The correct answer is A because the scenario implies a system (like certain SQL-on-Hadoop engines or strict partitioning rules) where omitting the partition column in the WHERE clause results in a query error, not a successful scan.
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 query fails with an error.
Why this is correct
require_partition_filter=true causes query to fail without a partition filter.
Related concept
Read the scenario before looking for a memorised answer.
✗
The query runs successfully and only scans partitions containing product_id values.
Why it's wrong here
Clustering does not override partition filter requirement.
✗
The query runs successfully and scans only the latest partition.
Why it's wrong here
No partition filter is applied.
✗
The query runs successfully but scans all partitions.
Why it's wrong here
The table requires a partition filter.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Google Cloud often tests the misconception that partition pruning automatically applies to any column in the WHERE clause, leading candidates to choose Option B, when in reality partition pruning only works on the partition key column, and the absence of that key can cause an error in strict environments.
Detailed technical explanation
How to think about this question
Under the hood, partition pruning is a performance optimization that uses the partition column's metadata to skip irrelevant files or directories. In systems like Apache Hive or Spark, if the partition column is missing from the WHERE clause, the engine must list all partition directories, which can be expensive but does not cause an error. However, in some cloud data warehouses (e.g., Google BigQuery with clustering but no partitioning on `sale_date`) or in strict SQL modes, the query may fail if the table is designed to require partition pruning for cost control. A real-world scenario is a partitioned fact table in a data lake where analysts must always filter by date to avoid scanning years of data, and the system is configured to reject queries without a partition filter to prevent runaway costs.
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 cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
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.
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 query fails with an error. — In a partitioned table (e.g., using Hive-style partitioning or a similar system like BigQuery or Snowflake), a WHERE clause that filters only on `product_id` without including the partition key `sale_date` forces a full scan of all partitions. However, if the table is defined with a strict partition pruning requirement (e.g., in Databricks or Spark SQL with dynamic partition pruning disabled, or in a system that requires the partition column in the filter), the query may fail with an error because the engine cannot determine which partitions to read without the partition key. The correct answer is A because the scenario implies a system (like certain SQL-on-Hadoop engines or strict partitioning rules) where omitting the partition column in the WHERE clause results in a query error, not a successful scan.
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.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
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.
Question Discussion
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
Sign in to join the discussion.