mediummulti selectObjective-mapped

An order lookup API repeatedly reads the same few items from DynamoDB. The application can tolerate slightly stale data for a few seconds, and the team wants the lowest-latency design with minimal application changes. Which two changes should they make? Select two.

Question 1mediummulti select
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An order lookup API repeatedly reads the same few items from DynamoDB. The application can tolerate slightly stale data for a few seconds, and the team wants the lowest-latency design with minimal application changes. Which two changes should they make? Select two.

Answer choices

Why each option matters

Good practice is not just finding the correct option. The wrong answers often show the exact trap the exam wants you to fall into.

A

Best answer

Put Amazon DynamoDB Accelerator (DAX) in front of the table.

DAX is an in-memory cache for DynamoDB reads, so repeated lookups for the same keys can be served with much lower latency than direct table reads. It is especially effective for hot-item access patterns like order lookups, product metadata, and profile reads.

B

Best answer

Use eventually consistent reads where the application can tolerate slightly stale data.

Eventually consistent reads avoid the extra requirement of reading the most recent committed value on every request. When slight staleness is acceptable, they fit well with caching layers and help keep read-path latency low.

C

Distractor review

Switch all access to strongly consistent reads for faster results.

Strongly consistent reads prioritize reading the latest data, but that freshness guarantee does not make reads faster. In fact, the stronger consistency requirement can reduce cache usefulness and can increase latency compared with a cache-friendly read path.

D

Distractor review

Increase the item size so fewer requests are needed.

Larger items usually cost more to transfer and can take longer to read and deserialize. Increasing item size does not improve lookup latency and often makes the performance problem worse.

E

Distractor review

Replace the table with Amazon EBS volumes mounted on EC2 instances.

EBS is block storage attached to an EC2 instance, not a managed key-value database. Replacing DynamoDB with EBS would change the storage model completely and would not preserve the low-latency lookup behavior the application needs.

Common exam trap

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.

Technical deep dive

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.

Related practice questions

Related SAA-C03 practice-question pages

Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.

More questions from this exam

Keep practising from the same exam bank, or move into a focused topic page if this question exposed a weak area.

FAQ

Questions learners often ask

What does this SAA-C03 question test?

Static NAT maps one inside address to one outside address.

What is the correct answer to this question?

The correct answer is: Put Amazon DynamoDB Accelerator (DAX) in front of the table. — DAX is the primary latency optimization for repeated DynamoDB lookups because it serves hot reads from an in-memory cache. Since the application can tolerate slight staleness, eventually consistent reads are a good fit and do not force the application to pay for stronger freshness guarantees on every access. That combination minimizes response time while keeping application changes small. Why others are wrong: Strongly consistent reads prioritize freshness instead of speed and do not improve cacheability. Larger items generally increase transfer and processing cost. EBS volumes are not a managed replacement for DynamoDB and would require a fundamentally different architecture.

What should I do if I get this SAA-C03 question wrong?

Then try more questions from the same exam bank and focus on understanding why the wrong options are tempting.

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