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NEW QUESTION 53
A company needs to configure a real-time data ingestion architecture for its application. The company needs an API, a process that transforms data as the data is streamed, and a storage solution for the data.
Which solution will meet these requirements with the LEAST operational overhead?
Create an Amazon Kinesis Data Firehose delivery stream that uses the Kinesis data stream as a data source. Use AWS Lambda functions to transform the data. Use the Kinesis Data Firehose delivery stream to send the data to Amazon S3.B. Configure an Amazon API Gateway API to send data to an Amazon Kinesis data stream. Create an Amazon Kinesis Data Firehose delivery stream that uses the Kinesis data stream as a data source. Use AWS Lambda functions to transform the data. Use the Kinesis Data Firehose delivery stream to send the data to Amazon S3.C. Deploy an Amazon EC2 instance to host an API that sends data to AWS Glue. Stop source/destination checking on the EC2 instance. Use AWS Glue to transform the data and to send the data to Amazon S3.D. Configure an Amazon API Gateway API to send data to AWS Glue. Use AWS Lambda functions to transform the data. Use AWS Glue to send the data to Amazon S3.
Answer: B
NEW QUESTION 54
A financial company wants to store their data in Amazon S3 but at the same time, they want to store their frequently accessed data locally on their on-premises server. This is due to the fact that they do not have the option to extend their on-premises storage, which is why they are looking for a durable and scalable storage service to use in AWS.
What is the best solution for this scenario?
Answer: C
Explanation:
By using Cached volumes, you store your data in Amazon Simple Storage Service (Amazon S3) and retain a copy of frequently accessed data subsets locally in your on-premises network. Cached volumes offer substantial cost savings on primary storage and minimize the need to scale your storage on- premises. You also retain low-latency access to your frequently accessed data. This is the best solution for this scenario.
Using a fleet of EC2 instance with EBS volumes to store the commonly used data is incorrect because an EC2 instance is not a storage service and it does not provide the required durability and scalability.
Using both Elasticache and S3 for frequently accessed data is incorrect as this is not efficient. Moreover, the question explicitly said that the frequently accessed data should be stored locally on their on- premises server and not on AWS.
Using Amazon Glacier is incorrect as this is mainly used for data archiving.
Explanation:
Reference:
https://aws.amazon.com/storagegateway/faqs/
Check out this AWS Storage Gateway Cheat Sheet:
https://tutorialsdojo.com/aws-storage-gateway/
NEW QUESTION 55
A solutions architect is formulating a strategy for a startup that needs to transfer 50 TB of on- premises data to Amazon S3. The startup has a slow network transfer speed between its data center and AWS which causes a bottleneck for data migration.
Which of the following should the solutions architect implement?
Answer: D
Explanation:
AWS Snowball uses secure, rugged devices so you can bring AWS computing and storage capabilities to your edge environments, and transfer data into and out of AWS. The service delivers you Snowball Edge devices with storage and optional Amazon EC2 and AWS IOT Greengrass compute in shippable, hardened, secure cases. With AWS Snowball, you bring cloud capabilities for machine learning, data analytics, processing, and storage to your edge for migrations, short-term data collection, or even long- term deployments. AWS Snowball devices work with or without the internet, do not require a dedicated IT operator, and are designed to be used in remote environments.
Hence, the correct answer is: Request an Import Job to Amazon S3 using a Snowball device in the AWS Snowball Console.
The option that says: Deploy an AWS Migration Hub Discovery agent in the on-premises data center is incorrect. The AWS Migration Hub service is just a central service that provides a single location to track the progress of application migrations across multiple AWS and partner solutions.
The option that says: Enable Amazon S3 Transfer Acceleration on the target S3 bucket is incorrect because this S3 feature is not suitable for large-scale data migration. Enabling this feature won't always guarantee faster data transfer as it's only beneficial for long-distance transfer to and from your Amazon S3 buckets.
The option that says: Integrate AWS Storage Gateway File Gateway with the on-premises data center is incorrect because this service is mostly used for building hybrid cloud solutions where you still need on- premises access to unlimited cloud storage. Based on the scenario, this service is not the best option because you would still rely on the existing low bandwidth internet connection. References:
https://aws.amazon.com/snowball
https://aws.amazon.com/blogs/storage/making-it-even-simpler-to-create-and-manage-your-aws-snow-fa mily-jobs/ Check out this AWS Snowball Cheat Sheet:
https://tutorialsdojo.com/aws-snowball/
AWS Snow Family Overview:
https://www.youtube.com/watch?v=9Ar-51Ip53Q
NEW QUESTION 56
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