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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Design Cost-Optimized Architectures | 20% | - Cost management tools
|
| Topic 2: Design Secure Architectures | 30% | - Secure workloads and applications
|
| Topic 3: Design High-Performing Architectures | 24% | - Performance scaling
|
| Topic 4: Design Resilient Architectures | 26% | - Fault tolerance and recovery
|
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NEW QUESTION # 427
A reporting team receives files each day in an Amazon S3 bucket. The reporting team manually reviews and copies the files from this initial S3 bucket to an analysis S3 bucket each day at the same time to use with Amazon QuickSight. Additional teams are starting to send more files in larger sizes to the initial S3 bucket.
The reporting team wants to move the files automatically analysis S3 bucket as the files enter the initial S3 bucket. The reporting team also wants to use AWS Lambda functions to run pattern-matching code on the copied data. In addition, the reporting team wants to send the data files to a pipeline in Amazon SageMaker Pipelines.
What should a solutions architect do to meet these requirements with the LEAST operational overhead?
Answer: A
NEW QUESTION # 428
A company has an application that runs on an Amazon Elastic Kubernetes Service (Amazon EKS) cluster on Amazon EC2 instances. The application has a U1 that uses Amazon DynamoDB and data services that use Amazon S3 as part of the application deployment. The company must ensure that the EKS Pods for the U1 can access only Amazon DynamoDB and that the EKS Pods for the data services can access only Amazon S3. The company uses AWS Identity and Access Management |IAM). Which solution meets these requirements?
Answer: C
NEW QUESTION # 429
A company regularly uploads GB-sized files to Amazon S3. After Ihe company uploads the files, the company uses a fleet of Amazon EC2 Spot Instances to transcode the file format. The company needs to scale throughput when the company uploads data from the on-premises data center to Amazon S3 and when Ihe company downloads data from Amazon S3 to the EC2 instances.
gUkicn solutions will meet these requirements? (Select TWO.)
Answer: B,E
Explanation:
Requirement Analysis: The company needs to scale throughput for uploading large files to S3 and downloading them to EC2 instances.
S3 Multipart Uploads: This method allows for the parallel upload of parts of a file, improving upload efficiency and reliability.
Parallel Fetching: Fetching multiple byte-ranges in parallel from S3 improves download performance.
Implementation:
For uploads, use the S3 multipart upload API to upload files in parallel.
For downloads, use the S3 API to request multiple byte-ranges concurrently.
Conclusion: These solutions effectively scale throughput and improve the performance of both uploads and downloads.
Reference
S3 Multipart Upload: Amazon S3 Multipart Upload
Parallel Fetching: S3 Byte-Range Fetches
NEW QUESTION # 430
A marketing company receives a large amount of new clickstream data in Amazon S3 from a marketing campaign The company needs to analyze the clickstream data in Amazon S3 quickly.
Then the company needs to determine whether to process the data further in the data pipeline.
Which solution will meet these requirements with the LEAST operational overhead?
Answer: D
Explanation:
AWS Glue Crawler: AWS Glue is a fully managed ETL (Extract, Transform, Load) service that makes it easy to prepare and load data for analytics. A Glue crawler can automatically discover new data and schema in Amazon S3, making it easy to keep the data catalog up-to-date.
Crawling the Data:
Set up an AWS Glue crawler to scan the S3 bucket containing the clickstream data. The crawler will automatically detect the schema and create/update the tables in the AWS Glue Data Catalog.
Amazon Athena:
Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL.
Once the data catalog is updated by the Glue crawler, use Athena to query the clickstream data directly in S3.
Operational Efficiency: This solution leverages fully managed services, reducing operational overhead. Glue crawlers automate data cataloging, and Athena provides a serverless, pay-per- query model for quick data analysis without the need to set up or manage infrastructure.
NEW QUESTION # 431
A company uses 50 TB of data for reporting. The company wants to move this data from on premises to AWS A custom application in the company's data center runs a weekly data transformation job. The company plans to pause the application until the data transfer is complete and needs to begin the transfer process as soon as possible.
The data center does not have any available network bandwidth for additional workloads A solutions architect must transfer the data and must configure the transformation job to continue to run in the AWS Cloud Which solution will meet these requirements with the LEAST operational overhead?
Answer: C
Explanation:
AWS Snowball Edge is a type of Snowball device with on-board storage and compute power for select AWS capabilities. Snowball Edge can do local processing and edge-computing workloads in addition to transferring data between your local environment and the AWS Cloud1. Users can order an AWS Snowball Edge Storage Optimized device that includes Amazon EC2 compute to move 50 TB of data from on premises to AWS. The Storage Optimized device has 80 TB of usable storage and 40 vCPUs of compute power2. Users can copy the data to the device using the AWS OpsHub graphical user interface or the Snowball client command line tool3.
Users can also create and run Amazon EC2 instances on the device using Amazon Machine Images (AMIs) that are compatible with the sbe1 instance type. Users can use the Snowball Edge device to transfer the data and run the transformation job locally without using any network bandwidth.
Users can also create a new EC2 instance on AWS to run the transformation application after the data transfer is complete. Amazon EC2 is a web service that provides secure, resizable compute capacity in the cloud. Users can launch an EC2 instance in the same AWS Region where they send their Snowball Edge device and choose an AMI that matches their application requirements. Users can use the EC2 instance to continue running the transformation job in the AWS Cloud.
NEW QUESTION # 432
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