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Design for New SolutionshardMultiple ChoiceObjective-mapped

SAP-C02 Design for New Solutions Practice Question

A company is designing a new data lake on AWS. The data lake will store petabytes of data from various sources, including IoT devices, application logs, and streaming data. The data must be stored cost-effectively, and access patterns vary from frequently accessed recent data to rarely accessed historical data. The company also needs to run SQL queries on the data. Which solution should the architect recommend?

⚠ Common exam trap

Many exam-takers confuse S3 Select with Athena, not realizing S3 Select is limited to single-object filtering and cannot perform joins or aggregations across multiple files, which is required for SQL queries on a data lake.

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

Store data in S3 with lifecycle policies to transition between storage classes, and use Amazon Athena for queries

Amazon S3 lifecycle policies allow automatic transition of objects between storage classes (e.g., S3 Standard to S3 Standard-IA to S3 Glacier Deep Archive) based on age, optimizing cost for varying access patterns. Amazon Athena enables serverless SQL querying directly on data stored in S3, making it ideal for a petabyte-scale data lake without managing infrastructure.

Answer analysis

Option-by-option breakdown

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

  • Store data in S3 with lifecycle policies to transition between storage classes, and use Amazon Athena for queries

    Why this is correct

    S3 provides cost-effective storage with lifecycle management, and Athena can query data directly.

  • Store data in S3 with lifecycle policies to transition to Glacier, and use S3 Select for queries

    Why it's wrong here

    S3 Select works on S3 objects, but Glacier requires restoration before querying.

  • Store data in Amazon EMR on EC2 and query with Hive

    Why it's wrong here

    EMR requires cluster management and is not cost-effective for occasional queries.

  • Store data in Amazon Redshift and query with Redshift Spectrum

    Why it's wrong here

    Redshift is a data warehouse, not a cost-effective data lake for petabyte-scale diverse data.

Quick reference

AWS S3 Storage Class Comparison

Storage ClassMin DurationRetrievalUse Case
S3 StandardNoneImmediateFrequently accessed data
S3 Standard-IA30 daysImmediateInfrequent access, rapid retrieval
S3 One Zone-IA30 daysImmediateNon-critical infrequent data
S3 Intelligent-TieringNoneImmediate–hoursUnknown or changing access patterns
S3 Glacier Instant90 daysMillisecondsArchive with instant retrieval
S3 Glacier Flexible90 daysMinutes–hoursArchive, flexible retrieval
S3 Glacier Deep Archive180 daysHoursLong-term compliance archive

About these practice questions

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Same concept, more angles

1 more way this is tested on SAP-C02

These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.

Variation 1. A company is designing a new data lake on AWS. The data lake must support SQL queries using Amazon Athena and also allow Amazon SageMaker to access training data. The solution must minimize storage costs for infrequently accessed data while providing immediate access when needed. Which storage tier should be used for the data lake?

hard
  • A.Amazon S3 Glacier Deep Archive
  • B.Amazon S3 Intelligent-Tiering
  • C.Amazon S3 Standard
  • D.Amazon S3 One Zone-Infrequent Access

Why B: Amazon S3 Intelligent-Tiering is the correct choice because it automatically moves data between access tiers (frequent, infrequent, and archive instant access) based on changing access patterns, optimizing storage costs without compromising performance. This meets the requirement for infrequently accessed data to be cost-effective while still providing immediate access for Athena queries and SageMaker training, as data in the archive instant access tier can be retrieved within milliseconds.

JA

Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This SAP-C02 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 SAP-C02 exam.