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The SAA-C03 exam covers a wide range of topics, including AWS core services such as EC2, S3, and RDS, as well as advanced services such as AWS Lambda, Amazon Elastic Container Service (ECS), and Amazon API Gateway. SAA-C03 exam also assesses the candidate’s ability to design and deploy highly available and scalable systems, as well as their knowledge of security and compliance on the AWS platform. A passing score on SAA-C03 exam demonstrates that the individual has the skills and knowledge necessary to design and deploy highly available, fault-tolerant, and scalable systems on the AWS platform, making them a valuable asset to any organization looking to migrate to the cloud or optimize their existing AWS infrastructure.

The SAA-C03 certification exam consists of 65 multiple-choice and multiple-response questions that must be completed within 130 minutes. SAA-C03 Exam covers various topics such as AWS infrastructure, security, networking, databases, storage, and cost optimization. To pass the exam, candidates must demonstrate their ability to design and deploy scalable, highly available, and fault-tolerant systems on the AWS platform. Successful candidates will receive the AWS Certified Solutions Architect - Associate certification, which is recognized globally and demonstrates their expertise in designing and deploying cloud-based solutions on the AWS platform.

The SAA-C03 exam is designed to validate a candidate's technical expertise in AWS services and their ability to design and deploy scalable and fault-tolerant systems on AWS. Candidates who pass SAA-C03 exam will demonstrate their ability to design and deploy robust and scalable systems on AWS, which is highly valued by employers.

Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Exam Sample Questions (Q568-Q573):

NEW QUESTION # 568
A solutions architect needs to optimize storage costs. The solutions architect must identify any Amazon S3 buckets that are no longer being accessed or are rarely accessed.
Which solution will accomplish this goal with the LEAST operational overhead?

A. Analyze bucket access patterns by using the S3 dashboard in the AWS Management Console.
B. Turn on AWS CloudTrail for S3 object monitoring. Analyze bucket access patterns by using CloudTrail logs that are integrated with Amazon CloudWatch Logs.
C. Analyze bucket access patterns by using the S3 Storage Lens dashboard for advanced activity metrics.
D. Turn on the Amazon CloudWatch BucketSizeBytes metric for buckets. Analyze bucket access patterns by using the metrics data with Amazon Athena.

Answer: C

Explanation:
Explanation
S3 Storage Lens is a fully managed S3 storage analytics solution that provides a comprehensive view of object storage usage, activity trends, and recommendations to optimize costs. Storage Lens allows you to analyze object access patterns across all of your S3 buckets and generate detailed metrics and reports.

NEW QUESTION # 569
A company runs an online marketplace web application on AWS. The application serves hundreds of thousands of users during peak hours. The company needs a scalable, near-real-time solution to share the details of millions of financial transactions with several other internal applications Transactions also need to be processed to remove sensitive data before being stored in a document database for low-latency retrieval.
What should a solutions architect recommend to meet these requirements?

A. Store the transactions data into Amazon DynamoDB Set up a rule in DynamoDB to remove sensitive data from every transaction upon write Use DynamoDB Streams to share the transactions data with other applications
B. Stream the transactions data into Amazon Kinesis Data Streams Use AWS Lambda integration to remove sensitive data from every transaction and then store the transactions data in Amazon DynamoDB Other applications can consume the transactions data off the Kinesis data stream.
C. Store the batched transactions data in Amazon S3 as files. Use AWS Lambda to process every file and remove sensitive data before updating the files in Amazon S3 The Lambda function then stores the data in Amazon DynamoDB Other applications can consume transaction files stored in Amazon S3.
D. Stream the transactions data into Amazon Kinesis Data Firehose to store data in Amazon DynamoDB and Amazon S3 Use AWS Lambda integration with Kinesis Data Firehose to remove sensitive data. Other applications can consume the data stored in Amazon S3

Answer: B

Explanation:
The destination of your Kinesis Data Firehose delivery stream. Kinesis Data Firehose can send data records to various destinations, including Amazon Simple Storage Service (Amazon S3), Amazon Redshift, Amazon OpenSearch Service, and any HTTP endpoint that is owned by you or any of your third-party service providers. The following are the supported destinations:
* Amazon OpenSearch Service
* Amazon S3
* Datadog
* Dynatrace
* Honeycomb
* HTTP Endpoint
* Logic Monitor
* MongoDB Cloud
* New Relic
* Splunk
* Sumo Logic
https://docs.aws.amazon.com/firehose/latest/dev/create-name.html
https://aws.amazon.com/kinesis/data-streams/
Amazon Kinesis Data Streams (KDS) is a massively scalable and durable real-time data streaming service. KDS can continuously capture gigabytes of data per second from hundreds of thousands of sources such as website clickstreams, database event streams, financial transactions, social media feeds, IT logs, and location-tracking events.

NEW QUESTION # 570
A company runs a stateless web application in production on a group of Amazon EC2 On-Demand Instances behind an Application Load Balancer. The application experiences heavy usage during an 8-hour period each business day. Application usage is moderate and steady overnight Application usage is low during weekends.
The company wants to minimize its EC2 costs without affecting the availability of the application.
Which solution will meet these requirements?

A. Use On-Demand Instances for the baseline level of usage. Use Spot Instances for any additional capacity that the application needs
B. Use Spot Instances for the entire workload.
C. Use Reserved instances for the baseline level of usage Use Spot Instances for any additional capacity that the application needs.
D. Use Dedicated Instances for the baseline level of usage. Use On-Demand Instances for any additional capacity that the application needs

Answer: C

Explanation:
Reserved is cheaper than on demand the company has. And it's meet the availabilty (HA) requirement as to spot instance that can be disrupted at any time. PRICING BELOW. On-Demand: 0% There's no commitment from you. You pay the most with this option. Reserved : 40%-60%1-year or 3-year commitment from you. You save money from that commitment. Spot 50%-90% Ridiculously inexpensive because there's no commitment from the AWS side.

NEW QUESTION # 571
An online video game company must maintain ultra-low latency for its game servers. The game servers run on Amazon EC2 instances. The company needs a solution that can handle millions of UDP internet traffic requests each second.
Which solution will meet these requirements MOST cost-effectively?

A. Configure a Network Load Balancer with the required protocol and ports for the internet traffic. Specify the EC2 instances as the targets.
B. Configure a Gateway Load Balancer for the internet traffic. Specify the EC2 instances as the targets.
C. Configure an Application Load Balancer with the required protocol and ports for the internet traffic. Specify the EC2 instances as the targets.
D. Launch an identical set of game servers on EC2 instances in separate AWS Regions. Route internet traffic to both sets of EC2 instances.

Answer: A

Explanation:
The most cost-effective solution for the online video game company is to configure a Network Load Balancer with the required protocol and ports for the internet traffic and specify the EC2 instances as the targets. This solution will enable the company to handle millions of UDP requests per second with ultra-low latency and high performance.
A Network Load Balancer is a type of Elastic Load Balancing that operates at the connection level (Layer 4) and routes traffic to targets (EC2 instances, microservices, or containers) within Amazon VPC based on IP protocol data. A Network Load Balancer is ideal for load balancing of both TCP and UDP traffic, as it is capable of handling millions of requests per second while maintaining high throughput at ultra-low latency. A Network Load Balancer also preserves the source IP address of the clients to the back-end applications, which can be useful for logging or security purposes1.

NEW QUESTION # 572
A company has an AWS Lambda function that needs read access to an Amazon S3 bucket that is located in the same AWS account. Which solution will meet these requirement in the MOST secure manner?

A. Embed an access key and a secret key In the Lambda function's coda to grant the required IAM permissions for read access to the S3 bucket
B. Apply an S3 bucket pokey that grants road access to the S3 bucket
C. Apply an IAM role to the Lambda function Apply an IAM policy to the role to grant read access to the S3 bucket
D. Apply an IAM role to the Lambda function. Apply an IAM policy to the role to grant read access to all S3 buckets In the account

Answer: C

Explanation:
This option is the most secure because it follows the principle of least privilege and grants only the necessary permissions to the Lambda function without exposing any credentials in the code. The IAM role can be configured as the Lambda function's execution role and the IAM policy can specify the S3 bucket ARN and the s3:GetObject action12. Option A is less secure because it grants read access to any principal that has access to the S3 bucket, which could be more than the Lambda function. Option C is less secure because it embeds credentials in the code, which could be compromised or exposed. Option D is less secure because it grants read access to all S3 buckets in the account, which could be more than what the Lambda function needs.

NEW QUESTION # 573
......

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