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Certifications›DEA-C01›Objectives›Data Store Management
Objective 2.0

Data Store Management

DEA-C01 Practice Questions

Use this page to practise Data Store Management questions for this certification. Focus on how the exam tests data store management in scenario format — understanding the why behind each answer builds more durable knowledge than memorising options.

Full Practice Test →All Objectives

What this objective tests

DEA-C01 Data Store Management — Key Topics

Data Store Management questions on this certification test your ability to deploy and manage data store management concepts in scenario-based situations.

  • Core Data Store Management concepts and how they apply in real-world cloud scenarios.
  • How to deploy data store management correctly and verify the outcome.
  • Troubleshooting data store management issues by interpreting error output and system state.
  • Cloud best practices and Data Store Management design trade-offs tested by this certification.

Common exam traps

Where candidates lose marks on Data Store Management

  • ⚠Selecting the most expensive service when a simpler managed option meets the requirement.
  • ⚠Forgetting that cloud resources must be explicitly secured — defaults are rarely secure.
  • ⚠Choosing a global service fix when the issue is region-specific.
  • ⚠Overlooking cost implications of cross-region data transfer in architecture questions.

DEA-C01 Data Store Management — Practice Questions

30 questions from this objective

Question 2mediummultiple choice
Full question →

A company has an Amazon RDS for MySQL DB instance with read replicas. The primary DB instance fails. What is the correct procedure to promote a read replica to become the new primary?

Question 3hardmultiple choice
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A data engineering team uses Amazon Redshift for analytics. They notice that queries on a large fact table are slow. The table is distributed using DISTSTYLE ALL. Which design change would most likely improve query performance?

Question 4easymultiple choice
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A company uses Amazon DynamoDB for a gaming application. They need to store player session data that expires after 24 hours. Which DynamoDB feature should they use to automatically delete expired items?

Question 5mediummulti select
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Which TWO actions should a data engineer take to encrypt data at rest in an Amazon S3 bucket? (Select TWO.)

Question 6hardmulti select
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A data engineer is designing a data lake on Amazon S3. The data must be immutable and support high-throughput streaming ingestion. Which THREE features should the engineer consider? (Select THREE.)

Question 7easymultiple choice
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An e-commerce application uses Amazon ElastiCache for Redis to cache product catalog data. The cache currently uses lazy loading. The team wants to ensure that frequently accessed product data is always fresh. Which caching strategy should they implement?

Question 8hardmultiple choice
Full question →

Refer to the exhibit. A data engineer has attached this bucket policy to an S3 bucket. What is the effect of this policy?

Exhibit

Refer to the exhibit.

{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Effect": "Allow",
      "Principal": {
        "AWS": "arn:aws:iam::123456789012:role/DataLakeRole"
      },
      "Action": [
        "s3:GetObject",
        "s3:PutObject"
      ],
      "Resource": "arn:aws:s3:::example-bucket/*"
    },
    {
      "Effect": "Deny",
      "Principal": "*",
      "Action": "s3:*",
      "Resource": "arn:aws:s3:::example-bucket/*",
      "Condition": {
        "Bool": {
          "aws:SecureTransport": "false"
        }
      }
    }
  ]
}
Question 9mediummultiple choice
Full question →

Refer to the exhibit. A data engineer runs the above AWS CLI command to view the table metadata in the AWS Glue Data Catalog. The data is stored as CSV in S3 with partitions by year and month. When querying the table using Amazon Athena, no data is returned. What is the most likely cause?

Network Topology
aws glue get-tabledatabase-name sales_dbname transactionsRefer to the exhibit."Table": {"Name": "transactions","StorageDescriptor": {"Columns": [{"Name": "id", "Type": "int"},{"Name": "amount", "Type": "double"},{"Name": "tx_date", "Type": "string"}],"Location": "s3://data-lake/transactions/","InputFormat": "org.apache.hadoop.mapred.TextInputFormat","OutputFormat": "org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat","SerdeInfo": {"SerializationLibrary": "org.apache.hadoop.hive.serde2.OpenCSVSerde"},"PartitionKeys": [{"Name": "year", "Type": "string"},{"Name": "month", "Type": "string"}
Question 10mediummulti select
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Which THREE storage classes in Amazon S3 are designed for infrequently accessed data with millisecond retrieval times? (Select THREE.)

Question 11easymultiple choice
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A company stores time-series sensor data in Amazon S3. They need to query the data using SQL with minimal latency and no infrastructure management. Which service should they use?

Question 12mediummultiple choice
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A data engineer needs to migrate an on-premises MySQL database to Amazon RDS for MySQL with minimal downtime. Which approach should they use?

Question 13hardmultiple choice
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A company uses Amazon DynamoDB with on-demand capacity. They notice higher than expected costs due to a sudden spike in read traffic from a reporting job. The reporting job scans the entire table daily. What is the most cost-effective way to reduce costs while maintaining the same reporting output?

Question 14easymultiple choice
Full question →

A data engineer has set up an Amazon S3 lifecycle policy to transition objects to Glacier Instant Retrieval after 30 days. After 60 days, objects should transition to Deep Archive. However, objects are not transitioning to Deep Archive. What is the most likely cause?

Question 15hardmultiple choice
Full question →

A data engineer attaches the above IAM policy to an IAM user. The user tries to download an object from my-bucket using the AWS CLI without specifying SSE headers. The object is stored with SSE-S3. Will the download succeed?

Exhibit

Refer to the exhibit.

```
{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Effect": "Allow",
      "Action": "s3:GetObject",
      "Resource": "arn:aws:s3:::my-bucket/*",
      "Condition": {
        "StringEquals": {
          "s3:x-amz-server-side-encryption": "AES256"
        }
      }
    }
  ]
}
```
Question 16mediummulti select
Full question →

A company is designing a data lake on Amazon S3. Which TWO strategies improve query performance for Amazon Athena?

Question 17hardmulti select
Full question →

A company is migrating a legacy data warehouse to Amazon Redshift. They need to choose a distribution style to minimize data movement during joins. Which THREE factors should they consider?

Question 18mediummultiple choice
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A company runs a multi-AZ Amazon RDS for PostgreSQL instance. They need to run a one-time analytical query that will take several hours and consume significant I/O. The query should not impact the primary workload. What should the data engineer do?

Question 19easymultiple choice
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A company is migrating its on-premises MySQL database to Amazon RDS for MySQL. They want to minimize downtime and ensure data consistency. Which AWS service should be used for the migration?

Question 20mediummultiple choice
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A data engineer is troubleshooting a slow-running query on an Amazon Redshift cluster. The query involves joining two large tables. The engineer notices that the query plan shows a large number of distribution and broadcast operations. Which design change would most likely improve query performance?

Question 21hardmultiple choice
Full question →

A company uses Amazon DynamoDB for a gaming leaderboard. The table has a partition key of 'game_id' and a sort key of 'score'. The read capacity is provisioned at 1000 RCUs. During peak hours, users report high latency when querying the top 10 scores for a specific game. The DynamoDB metrics show ConsumedReadCapacityUnits averaging 800 but occasional throttling. What is the most likely cause and solution?

Question 22mediummultiple choice
Full question →

A data engineer runs the above AWS CLI command and receives the output. The object is part of an S3 Lifecycle policy that transitions objects to Glacier Instant Retrieval after 30 days. The object was created on January 1, 2023. Why is the object still in STANDARD_IA storage class?

Network Topology
$ aws s3api head-objectbucket my-data-lakekey logs/2023/01/01/app.logRefer to the exhibit."LastModified": "2023-01-02T00:00:00Z","ContentLength": 1048576,"ETag": "\"abc123def456\"","VersionId": "null","ContentType": "application/octet-stream","Metadata": {"x-amz-meta-original-timestamp": "2023-01-01T12:00:00Z"},"StorageClass": "STANDARD_IA","Restore": "ongoing-request="false""
Question 23hardmulti select
Full question →

A data engineer is designing a data lake on Amazon S3 for analytics. The data includes sensitive PII that must be encrypted at rest. The company requires that the encryption keys be managed by the company's own hardware security module (HSM) and rotated every 90 days. Which TWO options meet these requirements? (Choose TWO.)

Question 24hardmultiple choice
Read the full NAT/PAT explanation →

A company runs a real-time analytics platform using Amazon Kinesis Data Streams with a shard count of 10. The data is consumed by an AWS Lambda function that writes to an Amazon DynamoDB table. The DynamoDB table has a partition key of 'user_id' and a sort key of 'timestamp'. The table is provisioned with 5000 RCUs and 5000 WCUs. Recently, the application experienced increased write latency and throttling errors (ProvisionedThroughputExceededException) on the DynamoDB table. The CloudWatch metrics show that ConsumedWriteCapacityUnits averages 4500 with occasional spikes to 6000. The Lambda function’s concurrency is set to 1000. The data engineer suspects the issue is due to hot partitions. Upon investigation, the engineer finds that a small number of users generate a disproportionately large amount of data. Which course of action would best resolve the throttling while minimizing cost?

Question 25mediummultiple choice
Full question →

A data engineering team is designing a data lake on Amazon S3 with a folder structure that separates raw, transformed, and curated data. The team needs to implement lifecycle policies to minimize storage costs while ensuring that data in the 'raw' zone is retained for 90 days before being moved to Amazon S3 Glacier Deep Archive. Additionally, data in the 'curated' zone should be deleted after 365 days. What is the MOST cost-effective way to achieve these requirements?

Question 26hardmulti select
Full question →

A data engineer is setting up an Amazon Redshift cluster for a data warehouse. The cluster will store historical sales data and support complex analytical queries. To optimize query performance and manage storage, the engineer needs to choose appropriate distribution styles and sort keys for a large fact table 'sales' and several dimension tables. Which TWO of the following design decisions are BEST practices?

Question 27easymultiple choice
Read the full NAT/PAT explanation →

A data engineer ran the above CLI command to describe an Amazon DynamoDB table named 'Orders'. The table has a key schema with 'OrderID' as the partition key and 'CustomerID' as the sort key. The table currently has no items. The engineer wants to add a new attribute 'OrderDate' and then query all orders for a specific customer within a date range. Which of the following actions is the MOST efficient approach to support this query pattern?

Network Topology
aws dynamodb describe-tabletable-name OrdersRefer to the exhibit."Table": {"AttributeDefinitions": ["AttributeName": "OrderID","AttributeType": "S"},"AttributeName": "CustomerID",],"TableName": "Orders","KeySchema": ["KeyType": "HASH""KeyType": "RANGE""TableStatus": "ACTIVE","ProvisionedThroughput": {"ReadCapacityUnits": 5,"WriteCapacityUnits": 5"TableSizeBytes": 0,"ItemCount": 0
Question 28mediumdrag order
Full question →

Arrange the steps to set up cross-region replication for an S3 bucket.

Drag steps to the numbered slots on the right, or tap a step then tap a slot.

Steps
Order
1Step 1
2Step 2
3Step 3
4Step 4
5Step 5
Question 29mediumdrag order
Full question →

Order the steps to set up an Amazon EMR cluster for processing data in S3 using Spark.

Drag steps to the numbered slots on the right, or tap a step then tap a slot.

Steps
Order
1Step 1
2Step 2
3Step 3
4Step 4
5Step 5
Question 30mediummatching
Full question →

Match each AWS Glue component to its role.

Drag a concept onto its matching description — or click a concept then click the description.

Concepts
Matches

Scans data sources and populates catalog

Central metadata repository

Transform and load data

Orchestrates multiple jobs and crawlers

Interactive development environment

Question 31mediummatching
Full question →

Match each AWS monitoring tool to its primary use.

Drag a concept onto its matching description — or click a concept then click the description.

Concepts
Matches

Metrics, logs, and alarms

API call history and auditing

Trace and analyze distributed applications

Event-driven automation

Resource configuration tracking

More Data Store Management questions available in the full practice test.

Continue Practising →

All DEA-C01 Objectives

  • 2.Data Store Management