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An online retailer is using Amazon DynamoDB to store data relate to customer transactions. The items in the table contain several string attributes describing the transaction as well as a JSON attribute containing the shopping cart and other details corresponding to the transactions. Average item size is ~250KB, most of which is associated with the JSON attribute. The average generates ~3GB of data per month.Customers access the table to display their transaction history and review transaction details as needed. Ninety percent of queries against the table are executed when building the transaction history view, with the other 10% retrieving transaction details. The table is partitioned on CustomerID and sorted on transaction data.The client has very high read capacity provisioned for the table and experiences very even utilization, but complains about the cost of Amazon DynamoDB compared to other NoSQL solutions.Which strategy will reduce the cost associated with the client's read queries while not degrading quality?
An advertising organization uses an application to process a stream of events that are received from clients in multiple unstructured formats.The application does the following:Transforms the events into a single structured format and streams them to Amazon Kinesis for real-time analysis.Stores the unstructured raw events from the log files on local hard drivers that are rotated and uploaded to Amazon S3.The organization wants to extract campaign performance reporting using an existing Amazon redshift cluster.Which solution will provide the performance data with the LEAST number of operations?
An administrator is deploying Spark on Amazon EMR for two distinct use cases: machine learning algorithms and ad hoc querying. All data will be stored in Amazon S3. Two separate clusters for each use case will be deployed. The data volumes on Amazon S3 are less than 10GB.How should the administrator align instance types with the cluster's purpose?
An organization is setting up a data catalog and metadata management environment for their numerous data stores currently running on AWS. The data catalog will be used to determine the structure and other attributes of data in the data stores. The data stores are composed of Amazon RDS databases, Amazon Redshift, and CSV files residing on Amazon S3. The catalog should be populated on a scheduled basis, and minimal administration is required to manage the catalog.How can this be accomplished?
You have a web application that is currently running on a collection of micro instance types in a single AZbehind a single load balancer. You have an Auto Scaling group configured to scale from 2 to 64 instances. When reviewing your CloudWatch metrics, you see that sometimes your Scaling group is running 64 micro instances. The web application is reading and writing to a DyanamoDB-configured backend and configured with 800 Write Capacity units and 800 Read Capacity units. Your customers are complaining that they are experiencing load times when viewing you website. You have investigated the DynamoDB CloudWatch metrics; you are under the provisioned read and Write Capacity units and there is no throttling.How do you scale your service to improve the load times and ensure the principles of high availability?
Your customers located around the globe require low-latency access to private video files. Which configuration meets these requirements?
Does Amazon RDS allow direct host access via Telnet, Secure Shell (SSH), or Windows Remote Desktop Connection?
You are managing the AWS account of a big organization. The organization has more than1000+ employees and they want to provide access to the various services to most of the employees. Which of the below mentioned options is the best possible solution in this case?
A company with a support organization needs support engineers to be able to search historic cases to provide fast responses on new issues raised. The company has forwarded all support messages into an Amazon Kinesis Stream. This meets a company objective of using only managed services to reduce.The company needs an appropriate architecture that allows support engineers to search on historic cases can find similar issues and their associated responses.Which AWS Lambda action is most appropriate?
Does AWS Direct Connect allow you access to all Availabilities Zones within a Region?
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