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Amazon AWS Certified Solutions Architect - Associate (SAA-C03) exam is a certification that validates an individual's expertise in designing and deploying scalable, highly available, and fault-tolerant systems on the Amazon Web Services (AWS) platform. AWS Certified Solutions Architect - Associate certification is intended for professionals who have a solid understanding of AWS services and can design and implement solutions that meet business requirements. The SAA-C03 Exam measures the knowledge and skills necessary to design and deploy AWS services that are secure, cost-effective, and highly available.
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The AWS Certified Solutions Architect - Associate certification exam is designed for Solutions Architects, Cloud Architects, and DevOps Engineers with one or more years of hands-on experience designing and deploying scalable, highly available, and fault-tolerant systems on AWS. SAA-C03 Exam consists of 65 multiple-choice and multiple-response questions, which must be completed within 130 minutes. The questions are designed to test a candidate's knowledge of AWS services and their ability to use those services to design and implement solutions that meet customer requirements.
NEW QUESTION # 414
Due to the large volume of query requests, the database performance of an online reporting application significantly slowed down. The Solutions Architect is trying to convince her client to use Amazon RDS Read Replica for their application instead of setting up a Multi-AZ Deployments configuration.
What are two benefits of using Read Replicas over Multi-AZ that the Architect should point out? (Select TWO.)
Answer: A,E
Explanation:
Amazon RDS Read Replicas provide enhanced performance and durability for database (DB) instances.
This feature makes it easy to elastically scale out beyond the capacity constraints of a single DB instance for read-heavy database workloads.
You can create one or more replicas of a given source DB Instance and serve high-volume application read traffic from multiple copies of your data, thereby increasing aggregate read throughput. Read replicas can also be promoted when needed to become standalone DB instances.
For the MySQL, MariaDB, PostgreSQL, and Oracle database engines, Amazon RDS creates a second DB instance using a snapshot of the source DB instance. It then uses the engines' native asynchronous replication to update the read replica whenever there is a change to the source DB instance. The read replica operates as a DB instance that allows only read-only connections; applications can connect to a read replica just as they would to any DB instance. Amazon RDS replicates all databases in the source DB instance.
When you create a read replica for Amazon RDS for MySQL, MariaDB, PostgreSQL, and Oracle, Amazon RDS sets up a secure communications channel using public-key encryption between the source DB instance and the read replica, even when replicating across regions. Amazon RDS establishes any AWS security configurations such as adding security group entries needed to enable the secure channel.
You can also create read replicas within a Region or between Regions for your Amazon RDS for MySQL, MariaDB, PostgreSQL, and Oracle database instances encrypted at rest with AWS Key Management Service (KMS).
Hence, the correct answers are:
- It elastically scales out beyond the capacity constraints of a single DB instance for read-heavy database workloads.
- Provides asynchronous replication and improves the performance of the primary database by taking read-heavy database workloads from it.
The option that says: Allows both read and write operations on the read replica to complement the primary database is incorrect as Read Replicas are primarily used to offload read-only operations from the primary database instance. By default, you can't do a write operation to your Read Replica.
The option that says: Provides synchronous replication and automatic failover in the case of Availability Zone service failures is incorrect as this is a benefit of Multi-AZ and not of a Read Replica. Moreover, Read Replicas provide an asynchronous type of replication and not synchronous replication.
The option that says: It enhances the read performance of your primary database by increasing its IOPS and accelerates its query processing via AWS Global Accelerator is incorrect because Read Replicas do not do anything to upgrade or increase the read throughput on the primary DB instance per se, but it provides a way for your application to fetch data from replicas. In this way, it improves the overall performance of your entire database-tier (and not just the primary DB instance). It doesn't increase the IOPS nor use AWS Global Accelerator to accelerate the compute capacity of your primary database.
AWS Global Accelerator is a networking service, not related to RDS, that direct user traffic to the nearest application endpoint to the client, thus reducing internet latency and jitter. It simply routes the traffic to the closest edge location via Anycast.
References:
https://aws.amazon.com/rds/details/read-replicas/ https://aws.amazon.com/rds/features/multi-az/ Check out this Amazon RDS Cheat Sheet: https://tutorialsdojo.com/amazon-relational-database-service- amazon-rds/ Additional tutorial - How do I make my RDS MySQL read replica writable?
NEW QUESTION # 415
[Design High-Performing Architectures]
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.
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 Reference:
Amazon Kinesis Data Streams:AWS Documentation - Kinesis Data Streams
AWS Messaging Services Comparison:AWS Documentation - Messaging Services
NEW QUESTION # 416
A company has applications that run on Amazon EC2 instances in a VPC. One of the applications needs to call the Amazon S3 API to store and read objects. According to the company's security regulations, no traffic from the applications is allowed to travel across the internet.
Which solution will meet these requirements?
Answer: A
Explanation:
https://docs.aws.amazon.com/AmazonS3/latest/userguide/privatelink-interface-endpoints.html#types-of-vpc-endpoints-for-s3
NEW QUESTION # 417
[Design Secure Architectures]
A company has an application that ingests incoming messages. These messages are then quickly consumed by dozens of other applications and microservices.
The number of messages varies drastically and sometimes spikes as high as 100,000 each second. The company wants to decouple the solution and increase scalability.
Which solution meets these requirements?
Answer: B
Explanation:
https://aws.amazon.com/sqs/features/
By routing incoming requests to Amazon SQS, the company can decouple the job requests from the processing instances. This allows them to scale the number of instances based on the size of the queue, providing more resources when needed. Additionally, using an Auto Scaling group based on the queue size will automatically scale the number of instances up or down depending on the workload. Updating the software to read from the queue will allow it to process the job requests in a more efficient manner, improving the performance of the system.
NEW QUESTION # 418
A company has an enterprise web application hosted on Amazon ECS Docker containers that use an Amazon FSx for Lustre filesystem for its high-performance computing workloads. A warm standby environment is running in another AWS region for disaster recovery. A Solutions Architect was assigned to design a system that will automatically route the live traffic to the disaster recovery (DR) environment only in the event that the primary application stack experiences an outage.
What should the Architect do to satisfy this requirement?
Answer: B
Explanation:
Use an active-passive failover configuration when you want a primary resource or group of resources to be available majority of the time and you want a secondary resource or group of resources to be on standby in case all the primary resources become unavailable. When responding to queries, Route 53 includes only the healthy primary resources. If all the primary resources are unhealthy, Route 53 begins to include only the healthy secondary resources in response to DNS queries.
To create an active-passive failover configuration with one primary record and one secondary record, you just create the records and specify Failover for the routing policy. When the primary resource is healthy, Route 53 responds to DNS queries using the primary record. When the primary resource is unhealthy, Route 53 responds to DNS queries using the secondary record.
You can configure a health check that monitors an endpoint that you specify either by IP address or by domain name. At regular intervals that you specify, Route 53 submits automated requests over the Internet to your application, server, or other resource to verify that it's reachable, available, and functional. Optionally, you can configure the health check to make requests similar to those that your users make, such as requesting a web page from a specific URL.
When Route 53 checks the health of an endpoint, it sends an HTTP, HTTPS, or TCP request to the IP address and port that you specified when you created the health check. For a health check to succeed, your router and firewall rules must allow inbound traffic from the IP addresses that the Route 53 health checkers use.
Hence, the correct answer is: Set up a failover routing policy configuration in Route 53 by adding a health check on the primary service endpoint. Configure Route 53 to direct the DNS queries to the secondary record when the primary resource is unhealthy. Configure the network access control list and the route table to allow Route 53 to send requests to the endpoints specified in the health checks.
Enable the Evaluate Target Health option by setting it to Yes.
The option that says: Set up a Weighted routing policy configuration in Route 53 by adding health checks on both the primary stack and the DR environment. Configure the network access control list and the route table to allow Route 53 to send requests to the endpoints specified in the health checks. Enable the Evaluate Target Health option by setting it to Yes is incorrect because Weighted routing simply lets you associate multiple resources with a single domain name (tutorialsdojo.com) or subdomain name (blog.tutorialsdojo.com) and choose how much traffic is routed to each resource. This can be useful for a variety of purposes, including load balancing and testing new versions of software, but not for a failover configuration. Remember that the scenario says that the solution should automatically route the live traffic to the disaster recovery (DR) environment only in the event that the primary application stack experiences an outage. This configuration is incorrectly distributing the traffic on both the primary and DR environment.
The option that says: Set up a CloudWatch Alarm to monitor the primary Route 53 DNS endpoint and create a custom Lambda function. Execute the ChangeResourceRecordSets API call using the function to initiate the failover to the secondary DNS record is incorrect because setting up a CloudWatch Alarm and using the Route 53 API is not applicable nor useful at all in this scenario. Remember that CloudWatch Alam is primarily used for monitoring CloudWatch metrics. You have to use a Failover routing policy instead.
The option that says: Set up a CloudWatch Events rule to monitor the primary Route 53 DNS endpoint and create a custom Lambda function. Execute theChangeResourceRecordSets API call using the function to initiate the failover to the secondary DNS record is incorrect because the Amazon CloudWatch Events service is commonly used to deliver a near real-time stream of system events that describe changes in some Amazon Web Services (AWS) resources. There is no direct way for CloudWatch Events to monitor the status of your Route 53 endpoints. You have to configure a health check and a failover configuration in Route 53 instead to satisfy the requirement in this scenario.
References:
https://docs.aws.amazon.com/Route53/latest/DeveloperGuide/dns-failover-types.html
https://docs.aws.amazon.com/Route53/latest/DeveloperGuide/health-checks-types.html
https://docs.aws.amazon.com/Route53/latest/DeveloperGuide/dns-failover-router-firewall-rules.html Check out this Amazon Route 53 Cheat Sheet:
https://tutorialsdojo.com/amazon-route-53/
NEW QUESTION # 419
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