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| Section | Weight | Objectives |
|---|---|---|
| Deployment | 24% | - CI/CD and deployment strategies
|
| Security | 26% | - Application authentication and authorization
|
| Troubleshooting and Optimization | 18% | - Monitoring and logging
|
| Development with AWS Services | 32% | - AWS core services development
|
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NEW QUESTION # 805
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 OrderID 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?
Answer: A
NEW QUESTION # 806
A developer used the AWS SDK to create an application that aggregates and produces log records for 10 services. The application delivers data to an Amazon Kinesis Data Streams stream. Each record contains a log message with a service name, creation timestamp, and other log information. The stream has 15 shards in provisioned capacity mode. The stream uses service name as the partition key.
The developer notices that when all the services are producing logs,
ProvisionedThroughputExceededException errors occur during PutRecord requests. The stream metrics show that the write capacity the applications uses is below the provisioned capacity.
Which solution will most effectively resolve the throttling issue?
Answer: C
Explanation:
Issue Analysis:
The stream uses service name as the partition key. This can cause "hot partition" issues when a few service names generate significantly more logs compared to others, causing uneven distribution of data across shards.
Metrics show that the write capacity used is below provisioned capacity, which confirms that the throughput errors are due to shard-level limits and not overall capacity.
By changing the partition key to the creation timestamp (or a composite key including timestamp), the distribution of data across shards can be randomized, ensuring an even spread of records.
This resolves the shard overutilization issue and eliminates
ProvisionedThroughputExceededException.
NEW QUESTION # 807
A developer is building an application that uses Amazon DynamoDB. The developer wants to retrieve multiple specific items from the database with a single API call.
Which DynamoDB API call will meet these requirements with the MINIMUM impact on the database?
Answer: C
NEW QUESTION # 808
A developer is working on an AWS Lambda function that accesses Amazon DynamoDB. The Lambda function must retrieve an item and update some of its attributes, or create the item if it does not exist. The Lambda function has access to the primary key.
Which IAM permissions should the developer request for the Lambda function to achieve this functionality?
A)
B)
C)
D)
Answer: B
Explanation:
Requirement Summary:
Lambda function:
Retrieves an item from DynamoDB
Updates its attributes or creates it if it does not exist
Has primary key
Needs minimum required IAM permissions
Analysis of Required Permissions:
To get an item and update it or create it if it doesn't exist, the Lambda function must use the **PutItem** or
**UpdateItem** API, and read with **GetItem**.
Valid API options:
GetItem: Read the item from the table.
UpdateItem: Update existing item attributes or insert if it doesn't exist (with UpdateExpression and ConditionExpression).
When UpdateItem is used without a conditional check for existence, it can create a new item if it does not exist (acts like upsert).
DescribeTable: (Optional) Used if you need table metadata (not strictly required here).
Evaluate the Choices:
Option A:
DeleteItem - Not needed
GetItem -
PutItem - (can create/replace but not partial update)
Close, but PutItem overwrites the full item, not update-in-place. Acceptable, but UpdateItem is better suited.
Option B:
UpdateItem - Required to modify attributes or insert new item
GetItem - Required to check existence or read data
DescribeTable - Optional, but not harmful
BEST FIT - Matches the update-or-create logic.
Option C:
GetRecords - This is used for DynamoDB Streams, not standard GetItem
PutItem -
UpdateTable - Used to change table settings, not data manipulation
Incorrect usage context
Option D:
UpdateItem, GetItem, PutItem - all valid
But UpdateItem alone is sufficient; including PutItem might not be necessary Also, image is faded (possibly invalid), and it's redundant UpdateItem API: https://docs.aws.amazon.com/amazondynamodb/latest/APIReference/API_UpdateItem.html PutItem vs UpdateItem: https://docs.aws.amazon.com/amazondynamodb/latest/developerguide
/WorkingWithItems.html
IAM actions for DynamoDB: https://docs.aws.amazon.com/service-authorization/latest/reference
/list_amazondynamodb.html
NEW QUESTION # 809
A company uses AWS X-Ray to monitor a serverless application. The components of the application have different request rates. The user interactions and transactions are important to trace, but they are low in volume. The background processes such as application health checks, polling, and connection maintenance generate high volumes of read-only requests.
Currently, the default X-Ray sampling rules are universal for all requests. Only the first request per second and some additional requests are recorded. This setup is not helping the company review the requests based on service or request type.
A developer must configure rules to trace requests based on service or request properties. The developer must trace the user interactions and transactions without wasting effort recording minor background tasks.
Which solution will meet these requirements?
Answer: A
NEW QUESTION # 810
......
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