- A
Partition the table by product category
Why wrong: Partitioning helps with range scans, not exact ID lookups.
- B
Add an index on the product ID column
An index on the searched column accelerates lookups.
- C
Increase the server's memory to allow more caching
Why wrong: Caching helps but adding an index is more fundamental.
- D
Change the database to a NoSQL system for faster key-value access
Why wrong: NoSQL would require a complete redesign; indexing is simpler.
Quick Answer
The correct first action is to add an index on the product ID column. This works because an index creates a B-tree data structure that enables the database to locate rows using a logarithmic search, bypassing the need for a full table scan. For a query executed thousands of times per minute on a table with no indexes, this single-column index directly targets the bottleneck with minimal downtime and cost—just a single CREATE INDEX statement. On the CompTIA ITF+ FC0-U61 exam, this scenario tests your understanding of indexing for query performance, often appearing in questions about optimizing slow SELECT queries. A common trap is to suggest rewriting the query or adding hardware first, but the simplest and most effective step is indexing the column used in the WHERE clause. Remember the mnemonic: “Index the key, skip the scan—log search beats the plan.”
FC0-U61 Database Fundamentals Practice Question
This FC0-U61 practice question tests your understanding of database fundamentals. 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 small e-commerce website uses a relational database to manage its products and orders. The most common query is retrieving a product by its unique product ID. This query is executed thousands of times per minute. The database currently has no indexes, and the query is slow, causing user-facing delays. The database administrator wants to improve performance with minimal downtime and cost. Which action should be taken first?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"first"Why it matters: Order matters here. You are being tested on which action comes before the others — not which action is generally useful.
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
Add an index on the product ID column
Adding an index on the product ID column creates a B-tree data structure that allows the database to locate rows using a logarithmic search instead of a full table scan. Since the query is executed thousands of times per minute and the table has no indexes, this single-column index directly addresses the bottleneck with minimal downtime and cost, as it requires only a CREATE INDEX statement.
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.
- ✗
Partition the table by product category
Why it's wrong here
Partitioning helps with range scans, not exact ID lookups.
- ✓
Add an index on the product ID column
Why this is correct
An index on the searched column accelerates lookups.
Clue confirmation
The clue word "first" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Increase the server's memory to allow more caching
Why it's wrong here
Caching helps but adding an index is more fundamental.
- ✗
Change the database to a NoSQL system for faster key-value access
Why it's wrong here
NoSQL would require a complete redesign; indexing is simpler.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often choose increasing memory (Option C) because they confuse caching with indexing, not realizing that caching only helps after the first access and does not prevent full table scans on cache misses or for new data.
Detailed technical explanation
How to think about this question
A B-tree index on the product ID column reduces the time complexity of a lookup from O(n) (full table scan) to O(log n). In PostgreSQL, for example, creating an index with 'CREATE INDEX idx_product_id ON products(product_id);' is an online operation that does not block writes in many database systems (e.g., PostgreSQL's CONCURRENTLY option). Real-world scenarios show that even a single missing index on a high-traffic column can cause CPU saturation due to repeated sequential scans.
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 practitioner preparing for the FC0-U61 exam encounters this exact type of scenario on the job. The correct answer here is not the most general option — it is the best answer for the specific constraint described. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Real exam questions reward reading the full scenario before eliminating options, because the constraint defines which answer fits.
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.
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Database Fundamentals — study guide chapter
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FAQ
Questions learners often ask
What does this FC0-U61 question test?
Database Fundamentals — This question tests Database Fundamentals — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Add an index on the product ID column — Adding an index on the product ID column creates a B-tree data structure that allows the database to locate rows using a logarithmic search instead of a full table scan. Since the query is executed thousands of times per minute and the table has no indexes, this single-column index directly addresses the bottleneck with minimal downtime and cost, as it requires only a CREATE INDEX statement.
What should I do if I get this FC0-U61 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: "first". Order matters here. You are being tested on which action comes before the others — not which action is generally useful.
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 25, 2026
This FC0-U61 practice question is part of Courseiva's free CompTIA 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 FC0-U61 exam.
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