Question 108 of 1,730
Workload-Specific Database DesigneasyMultiple ChoiceObjective-mapped

Quick Answer

The answer is Amazon DynamoDB. This fully managed NoSQL database is the correct choice because it natively supports JSON document storage with key-value and SQL queries through PartiQL, allowing you to retrieve nested fields with millisecond latency while also enabling ad-hoc SQL-like queries on the same data. On the AWS Certified Database Specialty DBS-C01 exam, this question tests your ability to distinguish between DynamoDB and document-focused services like DocumentDB or relational options like RDS; a common trap is assuming you need a separate SQL engine when DynamoDB’s PartiQL already handles both paradigms. Remember the memory tip: “PartiQL pairs key-value speed with SQL-like reach,” reinforcing that DynamoDB unifies fast lookups and flexible querying for JSON workloads.

DBS-C01 Workload-Specific Database Design Practice Question

This DBS-C01 practice question tests your understanding of workload-specific database design. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 needs to store and analyze JSON documents that contain nested fields. The data is used for real-time dashboards and ad-hoc queries. The team wants a fully managed solution that supports both key-value lookups and SQL-like queries. Which AWS service should they use?

Question 1easymultiple choice
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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

Amazon DynamoDB

Amazon DynamoDB is correct because it is a fully managed NoSQL key-value and document database that supports single-digit millisecond latency for key-value lookups, and its PartiQL-compatible query language enables SQL-like queries on JSON documents with nested fields. DynamoDB also integrates with AWS services like Lambda and Kinesis for real-time dashboards, and its adaptive capacity handles ad-hoc query patterns without manual scaling.

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.

  • Amazon DynamoDB

    Why this is correct

    DynamoDB supports JSON documents, key-value lookups, and PartiQL for SQL-like queries.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Amazon Redshift

    Why it's wrong here

    Redshift is a data warehouse, not designed for real-time key-value lookups.

  • Amazon RDS for PostgreSQL with JSONB

    Why it's wrong here

    PostgreSQL supports JSON but is not key-value and requires server management.

  • Amazon DocumentDB

    Why it's wrong here

    DocumentDB is a document database but does not natively support key-value access patterns.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates often choose Amazon DocumentDB because it is a document database, but they overlook DynamoDB's superior key-value lookup performance and PartiQL's SQL-like query capability, which are explicitly required for real-time dashboards and ad-hoc queries in a fully managed serverless environment.

Detailed technical explanation

How to think about this question

DynamoDB's internal architecture uses a distributed hash table for primary key lookups, ensuring consistent low latency regardless of data size, while its PartiQL engine translates SQL-like queries into DynamoDB API calls, supporting nested attribute access via dot notation. A subtle behavior is that DynamoDB's query operations are limited to the primary key or secondary indexes, so ad-hoc SQL queries without proper indexing may result in full table scans, requiring careful index design for real-time dashboards.

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 cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.

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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FAQ

Questions learners often ask

What does this DBS-C01 question test?

Workload-Specific Database Design — This question tests Workload-Specific Database Design — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Amazon DynamoDB — Amazon DynamoDB is correct because it is a fully managed NoSQL key-value and document database that supports single-digit millisecond latency for key-value lookups, and its PartiQL-compatible query language enables SQL-like queries on JSON documents with nested fields. DynamoDB also integrates with AWS services like Lambda and Kinesis for real-time dashboards, and its adaptive capacity handles ad-hoc query patterns without manual scaling.

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.

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Last reviewed: Jun 24, 2026

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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.