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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Development with AWS Services | 32% | - AWS core services development
|
| Topic 2: Troubleshooting and Optimization | 18% | - Performance optimization
|
| Topic 3: Security | 26% | - Data security
|
| Topic 4: Deployment | 24% | - CI/CD and deployment strategies
|
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NEW QUESTION # 190
An ecommerce company is developing a serverless application to track user activities. The company needs to track each type of activity with a timestamp and a unique product ID. The company also must track actions that are associated with each activity, such as product views, shopping cart actions, purchases, and checkout processes.
The company is planning a marketing campaign based on each user's activity. A developer needs to implement a partitioning strategy for an Amazon DynamoDB table to meet the data storage and access requirements for the application. The strategy must maximize provisioned throughput efficiency while minimizing the risk of throttling.
Which solution will meet these requirements?
Answer: C
Explanation:
For this workload, the access pattern is centered on each user's activity history over time (the company is planning a marketing campaign based on each user's activity). In DynamoDB, the most effective way to store and query time-ordered events per entity is to use a composite primary key where the entity identifier is the partition key and a time attribute is the sort key. Therefore, using user ID as the partition key groups all events for a given user together, and using timestamp as the sort key allows efficient retrieval in chronological order and supports range queries (for example, "activities in the last 7 days" or "between two dates").
This design also helps maximize provisioned throughput efficiency and reduce throttling risk because it distributes data across partitions based on the partition key values (user IDs). With many users, writes and reads naturally spread across multiple partition key values rather than concentrating on a small set. The sort key further enables multiple activity records per user without overwriting items and supports precise queries without scanning.
Option B (product ID as partition key) does not align with the stated marketing need (per-user activity). It would cluster all users' actions for a popular product into the same partition key, increasing the chance of hot partitions and throttling. Option C also risks hot partitions for popular product IDs; auto scaling helps capacity management but does not fix poor key distribution or hot-key access patterns. Option D (monotonic counter as partition key) is particularly problematic: sequential keys can create uneven distribution and a throughput bottleneck pattern, and it does not support user-centric queries efficiently.
Thus, A best matches the data model (user events over time), supports efficient queries, and reduces throttling risk by distributing workload across user IDs.
NEW QUESTION # 191
A developer is writing unit tests tor a new application that will be deployed on AWS. The developer wants to validate all pull requests with unit tests and merge the code with the main branch only when all tests pass The developer stores the code in AWS CodeCommit and sets up AWS CodeBuild to run the unit tests. The developer creates an AWS Lambda function to start the CodeBuild task. The developer needs to identify the CodeCommit events in an Amazon EventBridge event that can invoke the Lambda function when a pull request is created or updated.
Which CodeCommit event will meet these requirements?
Answer: B
Explanation:
https://aws.amazon.com/blogs/devops/automated-code-review-on-pull-requests-using-aws-codecommit-and- aws-codebuild/
NEW QUESTION # 192
A developer is deploying an application on Amazon EC2 instances that run in Account A. In certain cases, this application needs to read data from a private Amazon S3 bucket in Account B. The developer must provide the application access to the S3 bucket without exposing the S3 bucket to anyone else.
Which combination of actions should the developer take to meet these requirements? (Select TWO.)
Answer: B,E
Explanation:
This is a classic cross-account S3 access requirement: EC2 instances in Account A must read from a private S3 bucket in Account B without making the bucket public.
The correct pattern is to grant access using IAM + S3 bucket policy while keeping the bucket private. In Account B, you create an IAM role that has the necessary S3 read permissions (such as s3:GetObject and potentially s3:ListBucket depending on access needs). That is Option A.
However, permissions on the role alone are not sufficient, because the S3 bucket is in a different account and is private by default. AWS requires that the bucket owner explicitly grants access to the external principal.
This is done by adding a bucket policy in Account B that allows the principal (either the role in Account A or a role session via STS) to access the bucket objects. That is Option D.
Option B is not correct in the "select two" sense because adding permissions to Account A's instance profile role does not, by itself, grant access to a bucket owned by Account B. You still need the bucket policy or another resource-based policy from the bucket owner.
Option C violates the requirement ("without exposing the S3 bucket to anyone else"). Making the bucket public is unnecessary and insecure.
Option E is incorrect because a trust policy controls who can assume a role (sts:AssumeRole), not what S3 permissions the role has. Also, trust policies do not grant s3:Get* access.
Therefore, create an IAM role with S3 read permissions in Account B and grant access via the Account B bucket policy.
NEW QUESTION # 193
A developer is creating a mobile application that will not require users to log in.
What is the MOST efficient method to grant users access to AWS resources'?
Answer: A
Explanation:
This solution is the most efficient method to grant users access to AWS resources without requiring them to log in. Amazon Cognito is a service that provides user sign-up, sign-in, and access control for web and mobile applications. Amazon Cognito identity pools support both authenticated and unauthenticated users.
Unauthenticated users receive access to your AWS resources even if they aren't logged in with any of your identity providers (IdPs). You can use Amazon Cognito to associate unauthenticated users with an IAM role that has limited access to resources, such as Amazon S3 buckets or DynamoDB tables. This degree of access is useful to display content to users before they log in or to allow them to perform certain actions without signing up. Using an identity provider to securely authenticate with the application will require users to log in, which does not meet the requirement. Creating an AWS Lambda function to create an IAM user when a user accesses the application will incur unnecessary costs and complexity, and may pose security risks if not implemented properly. Creating credentials using AWS KMS and applying them to users when using the application will also incur unnecessary costs and complexity, and may not provide fine-grained access control for resources.
Reference: Switching unauthenticated users to authenticated users (identity pools), Allow user access to your API without authentication (Anonymous user access)
NEW QUESTION # 194
A developer is designing a serverless application with two AWS Lambda functions to process photos. One Lambda function stores objects in an Amazon S3 bucket and stores the associated metadata in an Amazon DynamoDB table. The other Lambda function fetches the objects from the S3 bucket by using the metadata from the DynamoDB table. Both Lambda functions use the same Python library to perform complex computations and are approaching the quota for the maximum size of zipped deployment packages.
What should the developer do to reduce the size of the Lambda deployment packages with the LEAST operational overhead?
Answer: A
Explanation:
Explanation
AWS Lambda is a service that lets developers run code without provisioning or managing servers. Lambda layers are a distribution mechanism for libraries, custom runtimes, and other dependencies. The developer can create a Lambda layer with the required Python library and use the layer in both Lambda functions. This will reduce the size of the Lambda deployment packages and avoid reaching the quota for the maximum size of zipped deployment packages. The developer can also benefit from using layers to manage dependencies separately from function code.
References:
[What Is AWS Lambda? - AWS Lambda]
[AWS Lambda Layers - AWS Lambda]
NEW QUESTION # 195
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