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NEW QUESTION 26
A company runs its Infrastructure on AWS and has a registered base of 700.000 users for res document management application The company intends to create a product that converts large pdf files to jpg Imago files. The .pdf files average 5 MB in size. The company needs to store the original files and the converted files. A solutions architect must design a scalable solution to accommodate demand that will grow rapidly over lime.
Which solution meets these requirements MOST cost-effectively?
- A. Save the pdf files to Amazon S3 Configure an S3 PUT event to invoke an AWS Lambda function to convert the files to jpg format and store them back in Amazon S3
- B. Upload the .pdf files to an AWS Elastic Beanstalk application that includes Amazon EC2 instances, Amazon Elastic File System (Amazon EPS) storage, and an Auto Scaling group. Use a program in the EC2 instances to convert the file to jpg format Save the pdf files and the jpg files in the EBS store.
- C. Save the pdf files to Amazon DynamoDB. Use the DynamoDB Streams feature to invoke an AWS Lambda function to convert the files to jpg format and store them hack in DynamoDB
- D. Upload the pdf files to an AWS Elastic Beanstalk application that includes Amazon EC2 instances. Amazon Elastic Block Store (Amazon EBS) storage and an Auto Scaling group. Use a program In the EC2 instances to convert the files to jpg format Save the .pdf files and the .jpg files In the EBS store.
Answer: B
NEW QUESTION 27
A company needs to use Amazon S3 to store irreproducible financial documents. For their quarterly reporting, the files are required to be retrieved after a period of 3 months. There will be some occasions when a surprise audit will be held, which requires access to the archived data that they need to present immediately.
What will you do to satisfy this requirement in a cost-effective way?
- A. Use Amazon Glacier Deep Archive
- B. Use Amazon S3 -Intelligent Tiering
- C. Use Amazon S3 Standard - Infrequent Access
- D. Use Amazon S3 Standard
Answer: C
Explanation:
In this scenario, the requirement is to have a storage option that is cost-effective and has the ability to access or retrieve the archived data immediately. The cost-effective options are Amazon Glacier Deep Archive and Amazon S3 Standard- Infrequent Access (Standard - IA). However, the former option is not designed for rapid retrieval of data which is required for the surprise audit.
Hence, using Amazon Glacier Deep Archive is incorrect and the best answer is to use Amazon S3 Standard - Infrequent Access.
Using Amazon S3 Standard is incorrect because the standard storage class is not cost-efficient in this scenario. It costs more than Glacier Deep Archive and S3 Standard - Infrequent Access.
Using Amazon S3 -Intelligent Tiering is incorrect because the Intelligent Tiering storage class entails an additional fee for monitoring and automation of each object in your S3 bucket vs. the Standard storage class and S3 Standard - Infrequent Access.
Amazon S3 Standard - Infrequent Access is an Amazon S3 storage class for data that is accessed less frequently but requires rapid access when needed. Standard - IA offers the high durability, throughput, and low latency of Amazon S3 Standard, with a low per GB storage price and per GB retrieval fee. This combination of low cost and high performance makes Standard - IA ideal for long-term storage, backups, and as a data store for disaster recovery. The Standard - IA storage class is set at the object level and can exist in the same bucket as Standard, allowing you to use lifecycle policies to automatically transition objects between storage classes without any application changes. References:
https://aws.amazon.com/s3/storage-classes/
https://aws.amazon.com/s3/faqs/
Check out this Amazon S3 Cheat Sheet:
https://tutorialsdojo.com/amazon-s3/
S3 Standard vs S3 Standard-IA vs S3 One Zone IA vs S3 Intelligent Tiering:
https://tutorialsdojo.com/s3-standard-vs-s3-standard-ia-vs-s3-one-zone-ia/
NEW QUESTION 28
A company deployed a web application that stores static assets in an Amazon Simple Storage Service (S3) bucket. The Solutions Architect expects the S3 bucket to immediately receive over 2000 PUT requests and 3500 GET requests per second at peak hour.
What should the Solutions Architect do to ensure optimal performance?
- A. Use a predictable naming scheme in the key names such as sequential numbers or date time sequences.
- B. Add a random prefix to the key names.
- C. Use Byte-Range Fetches to retrieve multiple ranges of an object data per GET request.
- D. Do nothing. Amazon S3 will automatically manage performance at this scale.
Answer: D
Explanation:
Amazon S3 now provides increased performance to support at least 3,500 requests per second to add data and 5,500 requests per second to retrieve data, which can save significant processing time for no additional charge. Each S3 prefix can support these request rates, making it simple to increase performance significantly.
Applications running on Amazon S3 today will enjoy this performance improvement with no changes, and customers building new applications on S3 do not have to make any application customizations to achieve this performance. Amazon S3's support for parallel requests means you can scale your S3 performance by the factor of your compute cluster, without making any customizations to your application. Performance scales per prefix, so you can use as many prefixes as you need in parallel to achieve the required throughput. There are no limits to the number of prefixes.
This S3 request rate performance increase removes any previous guidance to randomize object prefixes to achieve faster performance. That means you can now use logical or sequential naming patterns in S3 object naming without any performance implications. This improvement is now available in all AWS Regions.
Using Byte-Range Fetches to retrieve multiple ranges of an object data per GET request is incorrect because although a Byte-Range Fetch helps you achieve higher aggregate throughput, Amazon S3 does not support retrieving multiple ranges of data per GET request. Using the Range HTTP header in a GET Object request, you can fetch a byte-range from an object, transferring only the specified portion. You can use concurrent connections to Amazon S3 to fetch different byte ranges from within the same object.
Fetching smaller ranges of a large object also allows your application to improve retry times when requests are interrupted.
Adding a random prefix to the key names is incorrect. Adding a random prefix is not required in this scenario because S3 can now scale automatically to adjust perfomance. You do not need to add a random prefix anymore for this purpose since S3 has increased performance to support at least 3,500 requests per second to add data and 5,500 requests per second to retrieve data, which covers the workload in the scenario.
Using a predictable naming scheme in the key names such as sequential numbers or date time sequences is incorrect because Amazon S3 already maintains an index of object key names in each AWS region. S3 stores key names in alphabetical order. The key name dictates which partition the key is stored in. Using a sequential prefix increases the likelihood that Amazon S3 will target a specific partition for a large number of your keys, overwhelming the I/O capacity of the partition. References:
https://docs.aws.amazon.com/AmazonS3/latest/dev/request-rate-perf-considerations.html
https://d1.awsstatic.com/whitepapers/AmazonS3BestPractices.pdf
https://docs.aws.amazon.com/AmazonS3/latest/dev/GettingObjectsUsingAPIs.html Check out this Amazon S3 Cheat Sheet:
https://tutorialsdojo.com/amazon-s3/
NEW QUESTION 29
A company needs guaranteed Amazon EC2 capacity in three specific Availability Zones in a specific AWS Region for an upcoming event that will last 1 week.
What should the company do to guarantee the EC2 capacity?
- A. Create an On Demand Capacity Reservation that specifies the Region needed
- B. Create an On-Demand Capacity Reservation that specifies the Region and three Availability Zones needed
- C. Purchase Reserved instances that specify the Region needed
- D. Purchase Reserved instances that specify the Region and three Availability Zones needed
Answer: B
Explanation:
Explanation
https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ec2-capacity-reservations.html:
"When you create a Capacity Reservation, you specify:
The Availability Zone in which to reserve the capacity"
NEW QUESTION 30
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