This PCDE practice question tests your understanding of define data structures and implement sql for business intelligence. 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 financial BI application stores monetary values such as revenue and tax amounts. Which BigQuery data type should be used to ensure accuracy in calculations?
Use STRING and parse numbers as needed
Why wrong: String types are inefficient and prone to errors in arithmetic.
Use INT64 and store amounts in cents
Why wrong: This works but only for integer cents; taxes and discounts may require decimals.
Use FLOAT64
Why wrong: Floating-point types may produce rounding errors in calculations.
Use NUMERIC or BIGNUMERIC
Exact numeric types guarantee precision for decimals, essential for financial data.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Use NUMERIC or BIGNUMERIC
Option D is correct because NUMERIC and BIGNUMERIC are exact numeric types with fixed precision and scale, designed to avoid floating-point rounding errors. In BigQuery, monetary calculations require exact decimal arithmetic, and these types provide up to 38 (NUMERIC) or 76 (BIGNUMERIC) digits of precision, ensuring accuracy for revenue and tax computations.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Use STRING and parse numbers as needed
Why it's wrong here
String types are inefficient and prone to errors in arithmetic.
Use INT64 and store amounts in cents
Why it's wrong here
This works but only for integer cents; taxes and discounts may require decimals.
Use FLOAT64
Why it's wrong here
Floating-point types may produce rounding errors in calculations.
Use NUMERIC or BIGNUMERIC
Why this is correct
Exact numeric types guarantee precision for decimals, essential for financial data.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Google Cloud often tests the misconception that FLOAT64 is acceptable for financial data because it handles decimals, but the trap is that floating-point arithmetic is inherently imprecise for exact monetary calculations, leading to subtle rounding errors that fail audit requirements.
Detailed technical explanation
NUMERIC in BigQuery is stored as a scaled integer with a fixed scale of 9 decimal digits by default, allowing exact representation of decimal fractions like 0.01. BIGNUMERIC extends this to 38 decimal digits of scale, supporting extremely large or precise values. Under the hood, BigQuery uses a proprietary encoding that avoids the IEEE 754 binary floating-point representation, making these types suitable for financial applications where rounding errors from FLOAT64 could lead to significant discrepancies over many transactions.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
What to study next
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FAQ
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..
The correct answer is: Use NUMERIC or BIGNUMERIC — Option D is correct because NUMERIC and BIGNUMERIC are exact numeric types with fixed precision and scale, designed to avoid floating-point rounding errors. In BigQuery, monetary calculations require exact decimal arithmetic, and these types provide up to 38 (NUMERIC) or 76 (BIGNUMERIC) digits of precision, ensuring accuracy for revenue and tax computations.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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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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