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| Section | Weight | Objectives |
|---|---|---|
| Troubleshooting and Optimization | 18% | - Monitoring and logging
|
| Deployment | 24% | - Infrastructure as code
|
| Development with AWS Services | 32% | - AWS core services development
|
| Security | 26% | - Application authentication and authorization
|
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NEW QUESTION # 442
A company runs an application on AWS. The application stores data in an Amazon DynamoDB table. Some queries are taking a long time to run. These slow queries involve an attribute that is not the table's partition key or sort key.
The amount of data that the application stores in the DynamoDB table is expected to increase significantly. A developer must increase the performance of the queries.
Which solution will meet these requirements?
Answer: D
NEW QUESTION # 443
An organization is using Amazon CloudFront to ensure that its users experience low-latency access to its web application. The organization has identified a need to encrypt all traffic between users and CloudFront, and all traffic between CloudFront and the web application.
How can these requirements be met? (Select TWO)
Answer: A,C
Explanation:
Explanation
This solution will meet the requirements by ensuring that all traffic between users and CloudFront, and all traffic between CloudFront and the web application, are encrypted using HTTPS protocol. The Origin Protocol Policy determines how CloudFront communicates with the origin server (the web application), and setting it to "HTTPS Only" will force CloudFront to use HTTPS for every request to the origin server. The Viewer Protocol Policy determines how CloudFront responds to HTTP or HTTPS requests from users, and setting it to "HTTPS Only" or "Redirect HTTP to HTTPS" will force CloudFront to use HTTPS for every response to users. Option A is not optimal because it will use AWS KMS to encrypt traffic between CloudFront and the web application, which is not necessary or supported by CloudFront. Option C is not optimal because it will set the origin's HTTP port to 443, which is incorrect as port 443 is used for HTTPS protocol, not HTTP protocol. Option E is not optimal because it will enable the CloudFront option Restrict Viewer Access, which is used for controlling access to private content using signed URLs or signed cookies, not for encrypting traffic.
References: [Using HTTPS with CloudFront], [Restricting Access to Amazon S3 Content by Using an Origin Access Identity]
NEW QUESTION # 444
A data visualization company wants to strengthen the security of its core applications The applications are deployed on AWS across its development staging, pre-production, and production environments. The company needs to encrypt all of its stored sensitive credentials The sensitive credentials need to be automatically rotated Aversion of the sensitive credentials need to be stored for each environment Which solution will meet these requirements in the MOST operationally efficient way?
Answer: D
Explanation:
* Secrets Management: AWS Secrets Manager is designed specifically for storing and managing sensitive credentials.
* Environment Isolation: Creating separate secrets for each environment (development, staging, etc.) ensures clear separation and prevents accidental leaks.
* Automatic Rotation: Secrets Manager provides built-in rotation capabilities, enhancing security posture.
* Versioning: Tracking changes to secrets is essential for auditing and compliance.
NEW QUESTION # 445
A developer is creating an AWS Lambda function that searches for items from an Amazon DynamoDB table that contains customer contact information. The DynamoDB table items have the customer's email_address as the partition key and additional properties such as customer_type, name, and job_title.
The Lambda function runs whenever a user types a new character into the customer_type text input. The developer wants the search to return partial matches of the email_address property for a particular customer_type value. The developer does not want to recreate the DynamoDB table.
What should the developer do to meet these requirements?
Answer: D
Explanation:
The requirement is to search for partial matches of email_address but scoped to a specific customer_type. In DynamoDB, efficient partial matching is performed with a Query on a sort key using the begins_with() condition. However, Query requires that the partition key be specified exactly, so we need an index where customer_type can be used as the partition key, and email_address can be used as the sort key for prefix matching.
A Global Secondary Index (GSI) can be added to an existing table without recreating it, and it can use a different partition key and sort key from the base table. Option A correctly proposes a GSI with:
* Partition key: customer_type
* Sort key: email_address
Then the Lambda can run a Query on the GSI like: customer_type = :ct AND begins_with(email_address, :
prefix) which returns emails that start with the typed prefix for that customer type.
Option B is wrong because it keeps email_address as the partition key. That would require an exact email value (not a prefix) to Query, and you cannot do begins_with on a partition key; begins_with is for sort keys.
Options C and D are invalid because Local Secondary Indexes (LSIs) must share the same partition key as the base table (here, email_address). You cannot create an LSI with customer_type or job_title as the partition key when the table partition key is email_address.
Therefore, adding a GSI (customer_type PK, email_address SK) and querying it with begins_with is the correct solution.
NEW QUESTION # 446
An application uses Lambda functions to extract metadata from files uploaded to an S3 bucket; the metadata is stored in Amazon DynamoDB. The application starts behaving unexpectedly, and the developer wants to examine the logs of the Lambda function code for errors.
Based on this system configuration, where would the developer find the logs?
Answer: D
Explanation:
Amazon CloudWatch is the service that collects and stores logs from AWS Lambda functions. The developer can use CloudWatch Logs Insights to query and analyze the logs for errors and metrics. Option A is not correct because Amazon S3 is a storage service that does not store Lambda function logs. Option B is not correct because AWS CloudTrail is a service that records API calls and events for AWS services, not Lambda function logs. Option D is not correct because Amazon DynamoDB is a database service that does not store Lambda function logs.
NEW QUESTION # 447
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