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NEW QUESTION 32
Company C has recently launched an online commerce site for bicycles on AWS. They have a "Product"
DynamoDB table that stores details for each bicycle, such as, manufacturer, color, price, quantity and size
to display in the online store. Due to customer demand, they want to include an image for each bicycle
along with the existing details.
Which approach below provides the least impact to provisioned throughput on the "Product" table?

• A. Create an "Images" DynamoDB table to store the Image with a foreign key constraint to the "Product"
  table
• B. Store the images in Amazon S3 and add an S3 URL pointer to the "Product" table item for each image
• C. Add an image data type to the "Product" table to store the images in binary format
• D. Serialize the image and store it in multiple DynamoDB tables

Answer: B

NEW QUESTION 33
A Developer has implemented a Lambda function that needs to add new customers to an RDS database that is expected to run hundreds of times per hour. The Lambda function is configured to use 512MB of RAM and is based on the following pseudo code:

After testing the Lambda function, the Developer notices that the Lambda execution time is much longer than expected. What should the Developer do to improve performance?

• A. Move the database connection and close statement out of the handler. Place the connection in the global space.
• B. Replace RDS wit Amazon DynamoDB to implement control over the number of writes per second.
• C. Increase the amount of RAM allocated to the Lambda function, which will increase the number of threads the Lambda can use.
• D. Increase the size of the RDS database to allow for an increased number of database connections each hour.

Answer: A

Explanation:
Explanation
Refer AWS documentation - Lambda Best Practices
Take advantage of Execution Context reuse to improve the performance of your function. Make sure any externalized configuration or dependencies that your code retrieves are stored and referenced locally after initial execution. Limit the re-initialization of variables/objects on every invocation. Instead use static initialization/constructor, global/static variables and singletons. Keep alive and reuse connections (HTTP, database, etc.) that were established during a previous invocation.

NEW QUESTION 34
An organization is storing large files in Amazon S3, and is writing a web application to display meta-data about the files to end-users. Based on the metadata a user selects an object to download. The organization needs a mechanism to index the files and provide single-digit millisecond latency retrieval for the metadata.
What AWS service should be used to accomplish this?

• A. Amazon RDS
• B. Amazon DynamoDB
• C. AWS Lambda
• D. Amazon EC2

Answer: B

Explanation:
Amazon DynamoDB is a fast and flexible NoSQL database service for all applications that need consistent, single-digit millisecond latency at any scale. It is a fully managed database and supports both document and key-value data models. Its flexible data model and reliable performance make it a great fit for mobile, web, gaming, ad-tech, Internet of Things (IoT), and many other applications.

NEW QUESTION 35
A user is creating a new EBS volume from an existing snapshot. The snapshot size shows 10 GB. Can the user create a volume of 30 GB from that snapshot?

• A. Yes
• B. No
• C. Provided the original volume has set the change size attribute to true
• D. Provided the snapshot has the modify size attribute set as true

Answer: A

Explanation:
A user can always create a new EBS volume of a higher size than the original snapshot size.
The user cannot create a volume of a lower size. When the new volume is created the size in the instance will be shown as the original size. The user needs to change the size of the device with resize2fs or other OS specific commands.
http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ebs-expand-volume.html

NEW QUESTION 36
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