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| Section | Weight | Objectives |
|---|---|---|
| Deployment | 24% | - Test applications in development environments
|
| Troubleshooting and Optimization | 18% | - Instrument code for observability
|
| Security | 26% | - Manage sensitive data in application code
|
| Development with AWS Services | 32% | - Use data stores in application development
|
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質問 # 611
A developer is working on an app for a company that uses an Amazon DynamoDB table named Orders to store customer orders. The table uses OrderlD as the partition key and there is no sort key. The table contains more than 100,000 records. The developer needs to add a functionality that will retrieve all Orders records that contain an OrderSource attribute with the MobileApp value.
Which solution will improve the user experience in the MOST efficient way?
正解：D
解説：
Requirement Summary:
DynamoDB table Orders
Partition key: OrderID
No sort key
100,000+ records
Need to efficiently retrieve all records where:
OrderSource = " MobileApp "
Must optimize for user experience (i.e., performance)
Evaluate Options:
Option A: Scan with FilterExpression
Inefficient for large tables
A Scan reads every item in the table and then applies a filter condition.
This is slow, expensive, and not scalable as the dataset grows.
Option B: Create a Local Secondary Index (LSI) with OrderSource
Invalid: LSIs require the same partition key (OrderID) as the base table.
Since OrderSource is not part of the primary key, and we want to query based on it, LSI won't help.
Option C: Create a GSI with OrderSource as the sort key
Misuse of sort key: Querying by sort key alone is not allowed in DynamoDB.
You must specify a partition key in a Query.
This design is not valid for the use case.
Option D: Create a GSI with OrderSource as the partition key
BEST CHOICE: With a GSI on OrderSource, you can query efficiently for all items where OrderSource = " MobileApp " .
DynamoDB GSIs allow an alternative access pattern for queries not supported by the base table schema.
GSI Design: https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/GSI.html Querying a GSI: https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Query.html Scan vs Query: https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/bp-query-scan.html
質問 # 612
A company is building an application for stock trading. The application needs sub-millisecond latency for processing trade requests. The company uses Amazon DynamoDB to store all the trading data that is used to process each trading request.
A development team performs load testing on the application and finds that the data retrieval time is higher than expected. The development team needs a solution that reduces the data retrieval time with the least possible effort.
Which solution meets these requirements?
正解：A
質問 # 613
A developer is building an ecommerce application that uses multiple AWS Lambda functions. Each function performs a specific step in a customer order workflow, such as order processing and inventory management.
The developer must ensure that the Lambda functions run in a specific order.
Which solution will meet this requirement with the LEAST operational overhead?
正解：A
解説：
The requirement here is to ensure that Lambda functions are executed in a specific order. AWS Step Functions is a low-code workflow orchestration service that enables you to sequence AWS services, such as AWS Lambda, into workflows. It is purpose-built for situations like this, where different steps need to be executed in a strict sequence.
* AWS Step Functions: Step Functions allows developers to design workflows as state machines, where each state corresponds to a particular function. In this case, the developer can create a Step Functions state machine where each step (order processing, inventory management, etc.) is represented by a Lambda function.
* Operational Overhead: Step Functions have very low operational overhead because it natively handles retries, error handling, and function sequencing.
* Alternatives:
* Amazon SQS (Option A): While SQS can manage message ordering, it requires more manual handling of each step and the logic to sequentially invoke the Lambda functions.
* Amazon SNS (Option B): SNS is a pub/sub service and is not designed to handle sequences of Lambda executions.
* EventBridge (Option D): EventBridge Scheduler allows you to invoke Lambda functions based on scheduled times, but it doesn't directly support sequencing based on workflow logic.Therefore, AWS Step Functionsis the most appropriate solution due to its native orchestration capabilities and minimal operational complexity.
質問 # 614
A social media company is designing a platform that allows users to upload data, which is stored in Amazon S3. Users can upload data encrypted with a public key. The company wants to ensure that only the company can decrypt the uploaded content using an asymmetric encryption key. The data must always be encrypted in transit and at rest.
Options:
正解：C
解説：
Step 1: Problem Understanding
Asymmetric Encryption Requirement: Users encrypt data with a public key, and only the company can decrypt it using a private key.
Data Encryption at Rest and In Transit: The data must be encrypted during upload (in transit) and when stored in Amazon S3 (at rest).
Step 2: Solution Analysis
Option A: Server-side encryption with Amazon S3 managed keys (SSE-S3).
Amazon S3 manages the encryption and decryption keys.
This does not meet the requirement for asymmetric encryption, where the company uses a private key.
Not suitable.
Option B: Server-side encryption with customer-provided keys (SSE-C).
Requires the user to supply encryption keys during the upload process.
Does not align with the asymmetric encryption requirement.
Not suitable.
Option C: Client-side encryption with a data key.
Data key encryption is symmetric, not asymmetric.
Does not satisfy the requirement for a public-private key pair.
Not suitable.
Option D: Client-side encryption with a customer-managed encryption key.
Data is encrypted on the client side using the public key.
Only the company can decrypt the data using the corresponding private key.
Data remains encrypted during upload (in transit) and in S3 (at rest).
Correct option.
Step 3: Implementation Steps for Option D
Generate Key Pair:
The company generates an RSA key pair (public/private) for encryption and decryption.
Encrypt Data on Client Side:
Use the public key to encrypt the data before uploading to S3.
S3 Upload:
Upload the encrypted data to S3 over an HTTPS connection.
Decrypt Data on the Server:
Use the private key to decrypt data when needed.
AWS Developer Reference:
Amazon S3 Encryption Options
Asymmetric Key Cryptography in AWS
質問 # 615
A developer must ensure that sensitive customer data that is stored in an AWS Lambda function is encrypted at rest and in transit. The sensitive data is stored in environment variables within the Lambda function. The developer needs to control encryption key rotation. Which combination of steps will meet these requirements? (Choose two.)
正解：A、D
解説：
The Lambda execution role must have the necessary KMS permissions to decrypt environment variables encrypted with a customer managed key.
The KMS key policy should include permissions that allow Lambda to use the key and, if applicable, interact with other AWS services securely.
質問 # 616
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2026年Topexamの最新DVA-C02 PDFダンプおよびDVA-C02試験エンジンの無料共有：https://drive.google.com/open?id=1h6GyQdXrlreorGaAbuchpZfJ2Ai7HHmF