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NEW QUESTION: 1
You have a web application that is currently running on a three M3 instances in three AZs. You have an Auto Scaling group configured to scale from three to thirty instances. When reviewing your Cloud Watch metrics, you see that sometimes your Auto Scalinggroup is hosting fifteen instances. The web application is reading and writing to a DynamoDB-configured backend and configured with 800 Write Capacity Units and 800 Read Capacity Units. Your DynamoDB Primary Key is the Company ID. You are hosting 25 TB of data in your web application. You have a single customer that is complaining of long load times when their staff arrives at the office at 9:00 AM and loads the website, which consists of content that is pulled from DynamoDB. You have other customers who routinely use the web application. Choose the answer that will ensure high availability and reduce the customer's access times.
A. Doublethe number of Read Capacity Units in your DynamoDB instance because theinstance is probably being throttled when the customer accesses the website andyour web application.
B. Adda caching layer in front of your web application by choosing ElastiCacheMemcached instances in one of the AZs.
C. Implementan Amazon SQS queue between your DynamoDB database layer and the webapplication layer to minimize the large burst in traffic the customergenerateswhen everyone arrives at the office at
9:00AM and begins accessing the website.
D. Usedata pipelines to migrate your DynamoDB table to a new DynamoDB table with aprimary key that is evenly distributed across your dataset. Update your webappl ication to request data from the new table
E. Changeyour Auto Scalinggroup configuration to use Amazon C3 instance types, becausethe web application layer is probably running out of compute capacity.
Answer: D
Explanation:
Explanation
The AWS documentation provide the following information on the best performance for DynamoDB tables The optimal usage of a table's provisioned throughput depends on these factors: The primary key selection.
The workload patterns on individual items. The primary key uniquely identifies each item in a table. The primary key can be simple (partition key) or composite (partition key and sort key). When it stores data, DynamoDB divides a table's items into multiple partitions, and distributes the data primarily based upon the partition key value. Consequently, to achieve the full amount of request throughput you have provisioned for a table, keep your workload spread evenly across the partition key values. Distributing requests across partition key values distributes the requests across partitions. For more information on DynamoDB best practises please visit the link:
* http://docs.aws.amazon.com/amazondynamodb/latest/developerguide/GuideIinesForTables.html
Note: One of the AWS forumns is explaining the steps for this process in detail. Based on that, while importing data from S3 using datapipeline to a new table in dynamodb we can create a new index.
Please find the steps given below.


NEW QUESTION: 2

A. SAP Business One
B. SAP CRM
C. SAP Business All-In-One
D. SAP ERP
Answer: A

NEW QUESTION: 3
Which default network port must be open from the Agent Manager to the Application Server?
A. 0
B. 1
C. 2
D. 3
Answer: C