HOT SAA-C03 EXAMS TORRENT 100% PASS | HIGH PASS-RATE SAA-C03 RELIABLE TEST FORUM: AWS CERTIFIED SOLUTIONS ARCHITECT - ASSOCIATE

Hot SAA-C03 Exams Torrent 100% Pass | High Pass-Rate SAA-C03 Reliable Test Forum: AWS Certified Solutions Architect - Associate

Hot SAA-C03 Exams Torrent 100% Pass | High Pass-Rate SAA-C03 Reliable Test Forum: AWS Certified Solutions Architect - Associate

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In today's competitive industry, only the brightest and most qualified candidates are hired for high-paying positions. Obtaining Amazon AWS Certified Solutions Architect - Associate is a wonderful approach to be successful because it can draw in prospects and convince companies that you are the finest in your field. Pass the AWS Certified Solutions Architect - Associate exam to establish your expertise in your field and receive certification. However, passing the AWS Certified Solutions Architect - Associate SAA-C03 Exam is challenging.

Achieving the Amazon SAA-C03 Certification demonstrates that an individual has the skills and expertise needed to design and deploy scalable, highly available, and fault-tolerant systems on AWS. It is a valuable credential for IT professionals who want to advance their careers and take on more challenging roles in cloud computing.

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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q729-Q734):

NEW QUESTION # 729
A solutions architect needs to implement a solution that can handle up to 5,000 messages per second. The solution must publish messages as events to multiple consumers. The messages are up to 500 KB in size. The message consumers need to have the ability to use multiple programming languages to consume the messages with minimal latency. The solution must retain published messages for more than 3 months. The solution must enforce strict ordering of the messages.

  • A. Publish messages to Amazon EventBridge. Allow each consumer to create rules to deliver messages to the consumer's own target.
  • B. Publish messages to an Amazon Simple Notification Service (Amazon SNS) topic. Ensure that consumers use Amazon Data Firehose to subscribe to the topic.
  • C. Publish messages to an Amazon Simple Notification Service (Amazon SNS) topic. Ensure that consumers use an Amazon Simple Queue Service (Amazon SQS) FIFO queue to subscribe to the topic.
  • D. Publish messages to an Amazon Kinesis Data Streams data stream. Enable enhanced fan-out. Ensure that consumers ingest the data stream by using dedicated throughput.

Answer: D

Explanation:
AmazonKinesis Data Streamsis the best choice for this scenario:
Message throughput: Kinesis Data Streams supports high throughput with enhanced fan-out and dedicated throughput for consumers.
Large message size: Supports message sizes up to 1 MB, meeting the 500 KB requirement.
Message retention: Data streams can retain messages for up to 365 days.
Strict ordering: Guarantees message ordering within shards.
Why Other Options Are Not Ideal:
Option B:
While SQS FIFO supports strict ordering, SNS topics do not. SNS also does not natively support message retention or strict ordering across consumers.Does not meet requirements.
Option C:
EventBridge does not provide strict ordering guarantees or message retention beyond 24 hours.Does not meet requirements.
Option D:
SNS topics with Data Firehose are not designed for use cases requiring strict ordering or long message retention.Does not meet requirements.
AWS References:
Amazon Kinesis Data Streams:AWS Documentation - Kinesis Data Streams
AWS Messaging Services Comparison:AWS Documentation - Messaging Services


NEW QUESTION # 730
[Design Resilient Architectures]
A company hostss a three application on Amazon EC2 instances in a single Availability Zone. The web application uses a self-managed MySQL database that is hosted on an EC2 instances to store data in an Amazon Elastic Block Store (Amazon EBS) volumn. The MySQL database currently uses a 1 TB Provisioned IOPS SSD (io2) EBS volume. The company expects traffic of 1,000 IOPS for both reads and writes at peak traffic.
The company wants to minimize any distruptions, stabilize perperformace, and reduce costs while retaining the capacity for double the IOPS. The company wants to more the database tier to a fully managed solution that is highly available and fault tolerant.
Which solution will meet these requirements MOST cost-effectively?

  • A. Use a Multi-AZ deployment of an Amazon RDS for MySQL DB instance with an io2 Block Express EBS volume.
  • B. Use two large EC2 instances to host the database in active-passive mode.
  • C. Use a Multi-AZ deployment of an Amazon RDS for MySQL DB instance with a General Purpose SSD (gp2) EBS volume.
  • D. Use Amazon S3 Intelligent-Tiering access tiers.

Answer: C

Explanation:
RDS supported Storage > https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/CHAP_Storage.html GP2 max IOPS >https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/general-purpose.html#gp2-performance Amazon RDS provides three storage types: General Purpose SSD (also known as gp2 and gp3), Provisioned IOPS SSD (also known as io1), and magnetic (also known as standard).They differ in performance characteristics and price, which means that you can tailor your storage performance and cost to the needs of your database workload. You can create MySQL,MariaDB, Oracle, and PostgreSQL RDS DB instances with up to 64 tebibytes (TiB) of storage. You can create SQL Server RDS DB instances with up to 16 TiB of storage. For this amount of storage, use the Provisioned IOPS SSD and General Purpose SSD storage types.https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/CHAP_Storage.html


NEW QUESTION # 731
[Design Secure Architectures]
A company has deployed its application on Amazon EC2 instances with an Amazon RDS database. The company used the principle of least privilege to configure the database access credentials. The company's security team wants to protect the application and the database from SQL injection and other web-based attacks.
Which solution will meet these requirements with the LEAST operational overhead?

  • A. Use AWS WAF to protect the application. Use RDS parameter groups to configure the security settings.
  • B. Use security groups and network ACLs to secure the database and application servers.
  • C. Use different database accounts in the application code for different functions. Avoid granting excessive privileges to the database users.
  • D. Use AWS Network Firewall to protect the application and the database.

Answer: A

Explanation:
AWS WAF is a web application firewall that helps protect web applications from common web exploits that could affect application availability, compromise security, or consume excessive resources. AWS WAF allows users to create rules that block, allow, or count web requests based on customizable web security rules. One of the types of rules that can be created is an SQL injection rule, which allows users to specify a list of IP addresses or IP address ranges that they want to allow or block. By using AWS WAF to protect the application, the company can prevent SQL injection and other web-based attacks from reaching the application and the database.
RDS parameter groups are collections of parameters that define how a database instance operates. Users can modify the parameters in a parameter group to change the behavior and performance of the database. By using RDS parameter groups to configure the security settings, the company can enforce best practices such as disabling remote root login, requiring SSL connections, and limiting the maximum number of connections.
The other options are not correct because they do not effectively protect the application and the database from SQL injection and other web-based attacks. Using security groups and network ACLs to secure the database and application servers is not sufficient because they only filter traffic at the network layer, not at the application layer. Using AWS Network Firewall to protect the application and the database is not necessary because it is a stateful firewall service that provides network protection for VPCs, not for individual applications or databases. Using different database accounts in the application code for different functions is a good practice, but it does not prevent SQL injection attacks from exploiting vulnerabilities in the application code.
Reference:
AWS WAF
How AWS WAF works
Working with IP match conditions
Working with DB parameter groups
Amazon RDS security best practices


NEW QUESTION # 732
[Design Resilient Architectures]
A company hosts a database that runs on an Amazon RDS instance deployed to multiple Availability Zones. A periodic script negatively affects a critical application by querying the database. How can application performance be improved with minimal costs?

  • A. Use Amazon ElastiCache to cache the common queries the script runs.
  • B. Create a read replica of the database. Configure the script to query only the read replica.
  • C. Instruct the development team to manually export new entries at the end of the day.
  • D. Add functionality to the script to identify the instance with the fewest active connections and query that instance.

Answer: B

Explanation:
Option Aintroduces complexity and does not scale well.
Option Bcreates a read replica, offloading read traffic from the primary RDS instance without impacting the critical application.
Option Cis manual and inefficient.
Option Dmight help for caching frequently queried data but is not ideal for ad-hoc reporting.Therefore, Option B is the best choice.


NEW QUESTION # 733
A company needs to store its accounting records in Amazon S3. The records must be immediately accessible for 1 year and then must be archived for an additional 9 years. No one at the company, including administrative users and root users, can be able to delete the records during the entire 10-year period. The records must be stored with maximum resiliency.
Which solution will meet these requirements?

  • A. Store the records by using S3 Intelligent-Tiering. Use an IAM policy to deny deletion of the records. After 10 years, change the IAM policy to allow deletion.
  • B. Use an S3 Lifecycle policy to transition the records from S3 Standard to S3 One Zone-Infrequent Access (S3 One Zone-IA) after 1 year. Use S3 Object Lock in governance mode for a period of 10 years.
  • C. Store the records in S3 Glacier for the entire 10-year period. Use an access control policy to deny deletion of the records for a period of 10 years.
  • D. Use an S3 Lifecycle policy to transition the records from S3 Standard to S3 Glacier Deep Archive after 1 year. Use S3 Object Lock in compliance mode for a period of 10 years.

Answer: D


NEW QUESTION # 734
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