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Amazon SAA-C03 Certification Exam covers a wide range of topics, including AWS core services, security, networking, databases, storage, deployment, and management. Passing SAA-C03 exam demonstrates an individual's ability to design and deploy scalable, highly available, and fault-tolerant systems on AWS. AWS Certified Solutions Architect - Associate certification is recognized by many organizations and is a valuable asset for IT professionals who want to advance their careers in cloud computing.
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Amazon SAA-C03 exam consists of multiple-choice questions and is proctored. SAA-C03 exam covers a wide range of topics, including AWS core services, security, networking, and pricing and billing. SAA-C03 Exam is designed to be challenging, and candidates are encouraged to prepare thoroughly before taking the exam.
NEW QUESTION # 389
A genomics research company is designing a scalable architecture for a loosely coupled workload. Tasks in the workload are independent and can be processed in parallel. The architecture needs to minimize management overhead and provide automatic scaling based on demand. Which solution will meet these requirements MOST cost-effectively?
Answer: A
Explanation:
For workloads where tasks are independent and can be processed in parallel, and where minimizing management overhead is a priority, a serverless architecture using AWS Lambda is ideal.
AWS Lambda allows you to run code without provisioning or managing servers. It automatically scales your application by running code in response to each trigger.
Parallel Processing: Lambda functions can process multiple tasks concurrently, making it suitable for parallel workloads.
Automatic Scaling: Lambda automatically scales by running code in response to each event, scaling precisely with the size of the workload.
Minimal Management Overhead: With Lambda, there's no need to manage the underlying infrastructure, reducing operational complexity.
NEW QUESTION # 390
[Design Secure Architectures]
A company runs a production database on Amazon RDS for MySQL. The company wants to upgrade the database version for security compliance reasons. Because the database contains critical data, the company wants a quick solution to upgrade and test functionality without losing any data.
Which solution will meet these requirements with the LEAST operational overhead?
Answer: D
Explanation:
Amazon RDSBlue/Green Deploymentsis the ideal solution for upgrading the database version with minimal operational overhead and no data loss. Blue/Green Deployments allows you to create a separate, fully managed "green" environment with the upgraded database version. You can test the new version in the green environment while the "blue" environment continuesserving production traffic. Once testing is complete, you can seamlessly switch traffic to the green environment without downtime.
This solution provides:
Fast, non-disruptive upgrade: Traffic is only switched to the new environment after testing, ensuring zero data loss.
Minimal operational overhead: AWS handles the infrastructure management, reducing manual intervention.
Option A (Manual snapshot): This requires manual intervention and involves more operational overhead.
Option B (Native backup/restore): This approach is more labor-intensive and slower than Blue/Green Deployments.
Option C (DMS): AWS DMS adds unnecessary complexity for a simple version upgrade when Blue/Green Deployments can handle the task more efficiently.
AWS Reference:
Amazon RDS Blue/Green Deployments
NEW QUESTION # 391
A company has a data analytics application that updates a real-time foreign exchange dashboard and another separate application that archives data to Amazon Redshift. Both applications are configured to consume data from the same stream concurrently and independently by using Amazon Kinesis Data Streams. However, they noticed that there are a lot of occurrences where a shard iterator expires unexpectedly. Upon checking, they found out that the DynamoDB table used by Kinesis does not have enough capacity to store the lease data.
Which of the following is the most suitable solution to rectify this issue?
Answer: A
Explanation:
A new shard iterator is returned by every GetRecords request (as NextShardIterator), which you then use in the next GetRecords request (as ShardIterator). Typically, this shard iterator does not expire before you use it. However, you may find that shard iterators expire because you have not called GetRecords for more than 5 minutes or because you've performed a restart of your consumer application.
If the shard iterator expires immediately before you can use it, this might indicate that the DynamoDB table used by Kinesis does not have enough capacity to store the lease data. This situation is more likely to happen if you have a large number of shards. To solve this problem, increase the write capacity assigned to the shard table.
Hence, increasing the write capacity assigned to the shard table is the correct answer. Upgrading the storage capacity of the DynamoDB table is incorrect because DynamoDB is a fully managed service that automatically scales its storage without setting it up manually. The scenario refers to the write capacity of the shard table as it says that the DynamoDB table used by Kinesis does not have enough capacity to store the lease data.
Enabling In-Memory Acceleration with DynamoDB Accelerator (DAX) is incorrect because the DAX feature is primarily used for read performance improvement of your DynamoDB table from milliseconds response time to microseconds. It does not have any relationship with Amazon Kinesis Data Stream in this scenario.
Using Amazon Kinesis Data Analytics to properly support the data analytics application instead of Kinesis Data Stream is incorrect. Although Amazon Kinesis Data Analytics can support a data analytics application, it is still not a suitable solution for this issue. You simply need to increase the write capacity assigned to the shard table in order to rectify the problem, which is why switching to Amazon Kinesis Data Analytics is not necessary.
Explanation:
Reference:
https://docs.aws.amazon.com/streams/latest/dev/kinesis-record-processor-ddb.html
https://docs.aws.amazon.com/streams/latest/dev/troubleshooting-consumers.html Check out this Amazon Kinesis Cheat Sheet:
https://tutorialsdojo.com/amazon-kinesis/
NEW QUESTION # 392
A company operates a data lake in Amazon S3 that stores large datasets in multiple formats. The company has an application that retrieves and processes subsets of data from multiple objects in the data lake based on filtering criteria. For each data query, the application currently downloads the entire S3 object and performs transformations. The current process requires a large amount of transformation time. The company wants a solution that will give the application the ability to query and filter directly on S3 objects without downloading the objects. Which solution will meet these requirements?
Answer: C
Explanation:
The best solution to query and filter S3 data directly without downloading the full object is to use Amazon Athena.
Amazon Athena is an interactive query service that lets you use SQL to analyze structured, semi- structured, and unstructured data directly in Amazon S3, without needing to move or transform the data.
It supports formats like CSV, JSON, ORC, Parquet, and Avro and integrates with AWS Glue Data Catalog for schema management.
Athena is serverless, meaning there's no infrastructure to manage, and it's billed per query, which keeps it cost-effective.
Option B (EMR) is heavier and requires managing a cluster.
Option C (API Gateway) is not suited for querying S3 datasets.
Option D (ElastiCache) is a memory store, not a query engine.
NEW QUESTION # 393
A company hosts a web application in a VPC on AWS. A public Application Load Balancer (ALB) forwards connections from the internet to an Auto Scaling group of Amazon EC2 instances. The Auto Scaling group runs in private subnets across four Availability Zones.
The company stores data in an Amazon S3 bucket in the same Region. The EC2 instances use NAT gateways in each Availability Zone for outbound internet connectivity.
The company wants to optimize costs for its AWS architecture.
Which solution will meet this requirement?
Answer: D
Explanation:
Using S3 gateway endpoints allows private and cost-free access to S3 without routing traffic through a NAT gateway. NAT gateway traffic incurs charges, especially when used across multiple Availability Zones.
By using an S3 gateway endpoint, EC2 instances in private subnets can access S3 directly without needing internet access, reducing both data transfer and NAT gateway costs.
Interface endpoints are more expensive and typically used for services like API Gateway or Systems Manager.
NEW QUESTION # 394
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