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Question 1,003 of 1,730

Monitoring and Troubleshooting →mediumMultiple ChoiceObjective-mapped

Quick Answer

The best approach is to enable DAX (DynamoDB Accelerator) to cache Scan results and reduce read consumption on the table. DAX acts as an in-memory cache that absorbs repeated read requests, including those from scans, which directly lowers the read capacity unit (RCU) demand on the underlying DynamoDB table. This frees up RCUs for the write-heavy sensor ingestion, preventing the throttling caused by the scan operation. On the AWS Certified Database Specialty DBS-C01 exam, this scenario tests your understanding of how DAX mitigates read contention without altering write capacity or table configuration—a common trap is to assume that increasing write capacity or switching to on-demand solves read throttling, but those options ignore the root cause of read-side pressure. Remember the memory tip: “DAX caches the scans, so writes don’t get the ax.”

DBS-C01 Monitoring and Troubleshooting Practice Question

This DBS-C01 practice question tests your understanding of monitoring and troubleshooting. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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 Amazon DynamoDB to store sensor data from IoT devices. The table has a partition key of DeviceID (String) and a sort key of Timestamp (Number). The table is configured with provisioned capacity of 1000 read capacity units (RCUs) and 500 write capacity units (WCUs). Auto Scaling is enabled with target utilization of 70% and is working correctly. Recently, a new batch job was introduced that performs Scan operations on the entire table every hour. The Scan consumes many read capacity units and causes throttling of the sensor write requests. The team wants to minimize the impact on the write-heavy sensor ingestion. Which approach is BEST?

Clue words in this question

Noticing these words before you look at the options changes how you read each choice.

Clue: "best"
Why it matters: Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
Clue: "minimum / minimize"
Why it matters: Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.

Question 1mediummultiple choice

Full question →

A
Increase the provisioned write capacity to 2000 WCUs to handle bursts.
Why wrong: The throttling is on writes due to Scan consuming reads. Increasing writes does not solve the read contention.
B
Schedule the Scan to run during off-peak hours when sensor writes are lower.
Why wrong: Sensor writes may be continuous 24/7; off-peak might not exist. Also, this does not solve the read vs write capacity conflict.
C
Enable DAX (DynamoDB Accelerator) to cache Scan results and reduce read consumption on the table.
DAX caches Scan results, reducing the number of read capacity units consumed from the table, thus freeing capacity for writes.
D
Switch the table to on-demand capacity mode to eliminate throttling.
Why wrong: On-demand can handle spikes but is more expensive for predictable workloads. Also, it does not address the root cause of read/write contention.

Full breakdown with real-world context →

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

✓

Enable DAX (DynamoDB Accelerator) to cache Scan results and reduce read consumption on the table.

Option C is correct because enabling DynamoDB Accelerator (DAX) provides an in-memory cache for reads, which reduces the read load on the table itself. Since the Scan still consumes read capacity, caching can absorb some of the read traffic and free up RCUs for other operations, but more importantly, the team should also consider other measures. However, among the options, DAX is the best to reduce read load on the table. Option A is incorrect because increasing write capacity does not address the read throttling; it just increases cost. Option B is incorrect because reducing Scan frequency may not be acceptable for the batch job. Option D is incorrect because changing to on-demand may eliminate throttling but will be more expensive for this predictable workload and does not leverage existing provisioned capacity.

Key principle: NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

✗
Increase the provisioned write capacity to 2000 WCUs to handle bursts.
Why it's wrong here
The throttling is on writes due to Scan consuming reads. Increasing writes does not solve the read contention.
✗
Schedule the Scan to run during off-peak hours when sensor writes are lower.
Why it's wrong here
Sensor writes may be continuous 24/7; off-peak might not exist. Also, this does not solve the read vs write capacity conflict.
✓
Enable DAX (DynamoDB Accelerator) to cache Scan results and reduce read consumption on the table.
Why this is correct
DAX caches Scan results, reducing the number of read capacity units consumed from the table, thus freeing capacity for writes.
Clue confirmation
The clue words "best", "minimum / minimize" in the question point toward this answer.
Related concept
Static NAT maps one inside address to one outside address.
✗
Switch the table to on-demand capacity mode to eliminate throttling.
Why it's wrong here
On-demand can handle spikes but is more expensive for predictable workloads. Also, it does not address the root cause of read/write contention.

Common exam traps

Common exam trap: NAT rules depend on direction and matching traffic

NAT is not only about the public address. The inside/outside interface roles and the ACL or rule that matches traffic are just as important.

Detailed technical explanation

How to think about this question

NAT questions usually test address translation, overload/PAT behaviour, static mappings and whether the right traffic is being translated. Read the interface direction and address terms carefully.

KKey Concepts to Remember

Static NAT maps one inside address to one outside address.
PAT allows many inside hosts to share one public address using ports.
Inside local and inside global describe the private and translated addresses.
NAT ACLs identify traffic for translation, not always security filtering.

TExam Day Tips

Identify inside and outside interfaces first.
Check whether the scenario needs static NAT, dynamic NAT or PAT.
Do not confuse NAT matching ACLs with normal packet-filtering intent.

Key takeaway

NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.

Real-world example

How this comes up in practice

A startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.

What to study next

Got this wrong? Here's your next step.

Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related DBS-C01 NAT questions on configuration and troubleshooting.

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FAQ

Questions learners often ask

What does this DBS-C01 question test?

Monitoring and Troubleshooting — This question tests Monitoring and Troubleshooting — Static NAT maps one inside address to one outside address..

What is the correct answer to this question?

The correct answer is: Enable DAX (DynamoDB Accelerator) to cache Scan results and reduce read consumption on the table. — Option C is correct because enabling DynamoDB Accelerator (DAX) provides an in-memory cache for reads, which reduces the read load on the table itself. Since the Scan still consumes read capacity, caching can absorb some of the read traffic and free up RCUs for other operations, but more importantly, the team should also consider other measures. However, among the options, DAX is the best to reduce read load on the table. Option A is incorrect because increasing write capacity does not address the read throttling; it just increases cost. Option B is incorrect because reducing Scan frequency may not be acceptable for the batch job. Option D is incorrect because changing to on-demand may eliminate throttling but will be more expensive for this predictable workload and does not leverage existing provisioned capacity.

What should I do if I get this DBS-C01 question wrong?

Are there clue words in this question I should notice?

Yes — watch for: "best", "minimum / minimize". Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.

What is the key concept behind this question?

Static NAT maps one inside address to one outside address.

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