- A
Whether autoscaling is configured correctly to add capacity.
Why wrong: Autoscaling adjusts provisioned capacity, not consumed capacity.
- B
Whether the application is using Scan operations instead of Query operations.
Scans consume more read capacity than queries.
- C
Whether the partition key is evenly distributed across partitions.
Uneven distribution leads to hot partitions and throttling.
- D
Whether a specific 'order_id' is being accessed frequently, creating a hot key.
Hot keys can cause high consumption on a single partition.
- E
Whether a global secondary index is being used for queries.
Why wrong: GSI usage does not affect the table's consumed read capacity directly.
DBS-C01 Monitoring and Troubleshooting Practice Question
This DBS-C01 practice question tests your understanding of monitoring and troubleshooting. 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 using Amazon DynamoDB with autoscaling enabled. The table has a partition key of 'order_id' and a sort key of 'order_date'. The application performs both point queries and range queries. Recently, the 'ConsumedReadCapacityUnits' metric shows that the table is consistently using 100% of the provisioned capacity. Which THREE factors should the database engineer investigate to determine the cause?
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
Whether the application is using Scan operations instead of Query operations.
Option B is correct because Scan operations read the entire table or index before applying filters, consuming far more read capacity than Query operations, which target specific partition and sort key values. If the application is using Scans instead of Queries, it would consistently consume 100% of provisioned capacity even for small result sets, leading to throttling and high utilization.
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.
- ✗
Whether autoscaling is configured correctly to add capacity.
Why it's wrong here
Autoscaling adjusts provisioned capacity, not consumed capacity.
- ✓
Whether the application is using Scan operations instead of Query operations.
Why this is correct
Scans consume more read capacity than queries.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Whether the partition key is evenly distributed across partitions.
Why this is correct
Uneven distribution leads to hot partitions and throttling.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Whether a specific 'order_id' is being accessed frequently, creating a hot key.
Why this is correct
Hot keys can cause high consumption on a single partition.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Whether a global secondary index is being used for queries.
Why it's wrong here
GSI usage does not affect the table's consumed read capacity directly.
Common exam traps
Common exam trap: answer the scenario, not the keyword
AWS often tests the misconception that autoscaling misconfiguration is the primary cause of high capacity utilization, when in reality the root cause is often inefficient access patterns (Scans) or uneven data distribution (hot keys) that autoscaling cannot fix.
Detailed technical explanation
How to think about this question
DynamoDB's Query operation retrieves items based on the partition key and an optional sort key condition, reading only the relevant items, while Scan reads every item in the table or index, consuming capacity proportional to the total data size. A hot key occurs when a single partition key value receives a disproportionate number of requests, causing that partition to throttle even if overall table capacity is sufficient; this can be diagnosed by examining the 'ThrottledRequests' metric per partition or using CloudWatch Contributor Insights. Autoscaling in DynamoDB uses a target tracking algorithm based on consumed capacity versus provisioned capacity, but it cannot resolve inefficiencies like Scans or hot keys that cause capacity to be consumed at maximum without increasing throughput.
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 company's IT admin needs to give a contractor read-only access to production logs without sharing account credentials. Using role-based access control (RBAC) and temporary scoped permissions — not a permanent shared password — is the correct pattern. Questions like this test whether you can apply least-privilege access across cloud identity services.
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.
- →
Monitoring and Troubleshooting — study guide chapter
Learn the concepts, then practise the questions
- →
Monitoring and Troubleshooting practice questions
Targeted practice on this topic area only
- →
All DBS-C01 questions
1,730 questions across all exam domains
- →
AWS Certified Database Specialty DBS-C01 study guide
Full concept coverage aligned to exam objectives
- →
DBS-C01 practice test guide
How to use practice tests most effectively before exam day
Related practice questions
Related DBS-C01 practice-question pages
Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.
Workload-Specific Database Design practice questions
Practise DBS-C01 questions linked to Workload-Specific Database Design.
Deployment and Migration practice questions
Practise DBS-C01 questions linked to Deployment and Migration.
Management and Operations practice questions
Practise DBS-C01 questions linked to Management and Operations.
Monitoring and Troubleshooting practice questions
Practise DBS-C01 questions linked to Monitoring and Troubleshooting.
Database Security practice questions
Practise DBS-C01 questions linked to Database Security.
DBS-C01 fundamentals practice questions
Practise DBS-C01 questions linked to DBS-C01 fundamentals.
DBS-C01 scenario practice questions
Practise DBS-C01 questions linked to DBS-C01 scenario.
DBS-C01 troubleshooting practice questions
Practise DBS-C01 questions linked to DBS-C01 troubleshooting.
Practice this exam
Start a free DBS-C01 practice session
Short sessions build daily habit. Longer sessions build exam-day stamina. Try a timed session to simulate real conditions.
FAQ
Questions learners often ask
What does this DBS-C01 question test?
Monitoring and Troubleshooting — This question tests Monitoring and Troubleshooting — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Whether the application is using Scan operations instead of Query operations. — Option B is correct because Scan operations read the entire table or index before applying filters, consuming far more read capacity than Query operations, which target specific partition and sort key values. If the application is using Scans instead of Queries, it would consistently consume 100% of provisioned capacity even for small result sets, leading to throttling and high utilization.
What should I do if I get this DBS-C01 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 →
Last reviewed: Jun 30, 2026
This DBS-C01 practice question is part of Courseiva's free Amazon Web Services 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 DBS-C01 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.