TEST SAA-C03 DURATION - LATEST VERSION

Test SAA-C03 Duration - Latest Version

Test SAA-C03 Duration - Latest Version

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The SAA-C03 Certification Exam is designed for IT professionals who are responsible for designing and deploying scalable, highly available, and fault-tolerant systems on AWS. Candidates for this certification should have a solid understanding of AWS services, architecture, and best practices. They should also have experience with designing and deploying AWS solutions using AWS services such as EC2, S3, RDS, and VPC.

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Pass Guaranteed Quiz Amazon - Reliable SAA-C03 - Test AWS Certified Solutions Architect - Associate Duration

The Actual4Labs is one of the leading Amazon exam preparation study material providers in the market. The Actual4Labs offers valid, updated, and real AWS Certified Solutions Architect - Associate exam practice test questions that assist you in your AWS Certified Solutions Architect - Associate exam preparation. The Amazon SAA-C03 Exam Questions are designed and verified by experienced and qualified Amazon SAA-C03 exam trainers.

The SAA-C03 Exam consists of 65 multiple-choice and multiple-response questions that you need to complete within 130 minutes. SAA-C03 exam covers a wide range of topics, including AWS architecture, security, networking, storage, compute, and databases. You will be tested on your ability to design and deploy AWS solutions that meet specific requirements, optimize AWS services for cost and performance, and troubleshoot common issues.

Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q198-Q203):

NEW QUESTION # 198
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?

  • A. 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.
  • 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 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.
  • 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 # 199
A company is migrating its on-premises Oracle database to an Amazon RDS for Oracle database. The company needs to retain data for 90 days to meet regulatory requirements. The company must also be able to restore the database to a specific point in time for up to 14 days.
Which solution will meet these requirements with the LEAST operational overhead?

  • A. Use the Amazon Aurora Clone feature for Oracle to create a point-in-time restore. Delete clones that are older than 90 days
  • B. Create a backup plan that has a retention period of 90 days by using AWS Backup for Amazon RDS.
  • C. Create Amazon RDS automated backups. Set the retention period to 90 days.
  • D. Create an Amazon RDS manual snapshot every day. Delete manual snapshots that are older than 90 days.

Answer: B

Explanation:
AWS Backup is the most appropriate solution for managing backups with minimal operational overhead while meeting the regulatory requirement to retain data for 90 days and enabling point-in-time restore for up to 14 days.
AWS Backup: AWS Backup provides a centralized backup management solution that supports automated backup scheduling, retention management, and compliance reporting across AWS services, including Amazon RDS. By creating a backup plan, you can define a retention period (in this case, 90 days) and automate the backup process.
Point-in-Time Restore (PITR): Amazon RDS supports point-in-time restore for up to 35 days with automated backups. By using AWS Backup in conjunction with RDS, you ensure that your backup strategy meets the requirement for restoring data to a specific point in time within the last 14 days.
Why Not Other Options?:
Option A (RDS Automated Backups): While RDS automated backups support PITR, they do not directly support retention beyond 35 days without manual intervention.
Option B (Manual Snapshots): Manually creating and managing snapshots is operationally intensive and less automated compared to AWS Backup.
Option C (Aurora Clones): Aurora Clone is a feature specific to Amazon Aurora and is not applicable to Amazon RDS for Oracle.
AWS Reference:
AWS Backup - Overview of AWS Backup and its capabilities.
Amazon RDS Automated Backups - Information on how RDS automated backups work and their limitations.


NEW QUESTION # 200
An application running on an Amazon EC2 instance in VPC-A needs to access files in another EC2 instance in VPC-B. Both VPCs are in separate AWS accounts. The network administrator needs to design a solution to configure secure access to EC2 instance in VPC-B from VPC-A. The connectivity should not have a single point of failure or bandwidth concerns.
Which solution will meet these requirements?

  • A. Attach a virtual private gateway to VPC-B and set up routing from VPC-A.
  • B. Create a private virtual interface (VIF) for the EC2 instance running in VPC-B and add appropriate routes from VPC-A.
  • C. Set up VPC gateway endpoints for the EC2 instance running in VPC-B.
  • D. Set up a VPC peering connection between VPC-A and VPC-B.

Answer: D

Explanation:
AWS uses the existing infrastructure of a VPC to create a VPC peering connection; it is neither a gateway nor a VPN connection, and does not rely on a separate piece of physical hardware. There is no single point of failure for communication or a bandwidth bottleneck. https://docs.aws.amazon.com/vpc/latest/peering/what-is-vpc-peering.html


NEW QUESTION # 201
[Design Cost-Optimized Architectures]
A media company stores movies in Amazon S3. Each movie is stored in a single video file that ranges from 1 GB to 10 GB in size.
The company must be able to provide the streaming content of a movie within 5 minutes of a user purchase. There is higher demand for movies that are less than 20 years old than for movies that are more than 20 years old. The company wants to minimize hosting service costs based on demand.
Which solution will meet these requirements?

  • A. Store newer movie video files in S3 Standard. Store older movie video files in S3 Glacier Flexible Retrieval. When a user orders an older movie, retrieve the video file by using bulk retrieval.
  • B. Store all media content in Amazon S3. Use S3 Lifecycle policies to move media data into the Infrequent Access tier when the demand for a movie decreases.
  • C. Store newer movie video files in S3 Standard Store older movie video files in S3 Standard-Infrequent Access (S3 Standard-IA). When a user orders an older movie, retrieve the video file by using standard retrieval.
  • D. Store newer movie video files in S3 Intelligent-Tiering. Store older movie video files in S3 Glacier Flexible Retrieval. When a user orders an older movie, retrieve the video file by using expedited retrieval.

Answer: D

Explanation:
This solution will meet the requirements of minimizing hosting service costs based on demand and providing the streaming content of a movie within 5 minutes of a user purchase. S3 Intelligent-Tiering is a storage class that automatically optimizes storage costs by moving data to the most cost-effective access tier when access patterns change. It is suitable for data with unknown, changing, or unpredictable access patterns, such as newer movies that may have higher demand1. S3 Glacier Flexible Retrieval is a storage class that provides low-cost storage for archive data that is retrieved asynchronously. It offers flexible data retrieval options fromminutes to hours, and free bulk retrievals in 5-12 hours. It is ideal for backup, disaster recovery, and offsite data storage needs2. By using expedited retrieval, the user can access the older movie video file in 1-5 minutes, which meets the requirement of 5 minutes3.


NEW QUESTION # 202
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. Use Byte-Range Fetches to retrieve multiple ranges of an object data per GET request.
  • C. Do nothing. Amazon S3 will automatically manage performance at this scale.
  • D. Add a random prefix to the key names.

Answer: C

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 # 203
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