NEW SAA-C03 TEST NOTES & SAA-C03 LATEST EXAMPREP

New SAA-C03 Test Notes & SAA-C03 Latest Examprep

New SAA-C03 Test Notes & SAA-C03 Latest Examprep

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Actualtests4sure experts have also developed Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Exam (SAA-C03) test simulation software for you to assess and improve yourself. This is especially useful for intensive preparation and revision. It will provide you with an Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Exam (SAA-C03) exam environment and will give you real exam Amazon SAA-C03 questions.

Passing the Amazon SAA-C03 Exam requires a thorough understanding of AWS services and their architecture. It is a challenging exam that tests the candidate's ability to design and implement scalable and reliable solutions on the AWS platform. Candidates who pass the exam are awarded the AWS Certified Solutions Architect - Associate certification, which is recognized globally and can help professionals advance their careers in the cloud computing industry.

Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Exam Sample Questions (Q126-Q131):

NEW QUESTION # 126
An ecommerce company runs applications in AWS accounts that are part of an organization in AWS Organizations The applications run on Amazon Aurora PostgreSQL databases across all the accounts The company needs to prevent malicious activity and must identify abnormal failed and incomplete login attempts to the databases Which solution will meet these requirements in the MOST operationally efficient way?

  • A. Enable the Amazon RDS Protection feature in Amazon GuardDuty for the member accounts of the organization
  • B. Attach service control policies (SCPs) to the root of the organization to identify the failed login attempts
  • C. Publish all the Aurora PostgreSQL database events in AWS CloudTrail to a central Amazon S3 bucket
  • D. Publish the Aurora general logs to a log group in Amazon CloudWatch Logs Export the log data to a central Amazon S3 bucket

Answer: D

Explanation:
This option is the most operationally efficient way to meet the requirements because it allows the company to monitor and analyze the database login activity across all the accounts in the organization. By publishing the Aurora general logs to a log group in Amazon CloudWatch Logs, the company can enable the logging of the database connections, disconnections, and failed authentication attempts. By exporting the log data to a central Amazon S3 bucket, the company can store the log data in a durable and cost-effective way and use other AWS services or tools to perform further analysis or alerting on the log data. For example, the company can use Amazon Athena to query the log data in Amazon S3, or use Amazon SNS to send notifications based on the log data.
A . Attach service control policies (SCPs) to the root of the organization to identify the failed login attempts. This option is not effective because SCPs are not designed to identify the failed login attempts, but to restrict the actions that the users and roles can perform in the member accounts of the organization. SCPs are applied to the AWS API calls, not to the database login attempts. Moreover, SCPs do not provide any logging or analysis capabilities for the database activity.
B . Enable the Amazon RDS Protection feature in Amazon GuardDuty for the member accounts of the organization. This option is not optimal because the Amazon RDS Protection feature in Amazon GuardDuty is not available for Aurora PostgreSQL databases, but only for Amazon RDS for MySQL and Amazon RDS for MariaDB databases. Moreover, the Amazon RDS Protection feature does not monitor the database login attempts, but the network and API activity related to the RDS instances.
D . Publish all the Aurora PostgreSQL database events in AWS CloudTrail to a central Amazon S3 bucket. This option is not sufficient because AWS CloudTrail does not capture the database login attempts, but only the AWS API calls made by or on behalf of the Aurora PostgreSQL database. For example, AWS CloudTrail can record the events such as creating, modifying, or deleting the database instances, clusters, or snapshots, but not the events such as connecting, disconnecting, or failing to authenticate to the database.
Reference:
1 Working with Amazon Aurora PostgreSQL - Amazon Aurora
2 Working with log groups and log streams - Amazon CloudWatch Logs
3 Exporting Log Data to Amazon S3 - Amazon CloudWatch Logs
[4] Amazon GuardDuty FAQs
[5] Logging Amazon RDS API Calls with AWS CloudTrail - Amazon Relational Database Service


NEW QUESTION # 127
A company needs to ingest and analyze telemetry data from vehicles at scale for machine learning and reporting.
Which solution will meet these requirements?

  • A. Use Amazon Timestream for LiveAnalytics to store data points. Grant Amazon SageMaker permission to access the data. Use Amazon QuickSight to visualize the data.
  • B. Use Amazon Neptune to store data points. Use Amazon Kinesis Data Streams to ingest data into a Lambda function for processing. Use Amazon QuickSight to visualize the data.
  • C. Use Amazon DynamoDB to store data points. Use DynamoDB Connector to ingest data into Amazon EMR for processing. Use Amazon QuickSight to visualize the data.
  • D. Use Amazon Timestream for LiveAnalytics to store data points. Grant Amazon SageMaker permission to access the data. Use Amazon Athena to visualize the data.

Answer: A

Explanation:
* Amazon Timestream is purpose-built for storing and analyzing time-series data like telemetry.
* Option A leverages Timestream, SageMaker for ML, and QuickSight for visualization, meeting all requirements with minimal complexity.
* Option B involves more complex DynamoDB-EMR integration.
* Option C uses Neptune, which is designed for graph databases, not telemetry data.
* Option D incorrectly uses Athena for visualization instead of QuickSight.


NEW QUESTION # 128
A media company hosts its website on AWS. The website application's architecture includes a fleet of Amazon EC2 instances behind an Application Load Balancer (ALB) and a database that is hosted on Amazon Aurora The company's cyber security teem reports that the application is vulnerable to SOL injection.
How should the company resolve this issue?

  • A. Use AWS WAF in front of the ALB Associate the appropriate web ACLs with AWS WAF.
  • B. Subscribe to AWS Shield Advanced to block all SQL injection attempts automatically.
  • C. Create an ALB listener rule to reply to SQL injection with a fixed response
  • D. Set up Amazon Inspector to block all SOL injection attempts automatically

Answer: A

Explanation:
https://aws.amazon.com/premiumsupport/knowledge-center/waf-block-common-attacks/#:~:text=To%20protect%
----------------------------------------------------------------------------------------------------------------------- Protect against SQL injection and cross-site scripting To protect your applications against SQL injection and cross-site scripting (XSS) attacks, use the built-in SQL injection and cross-site scripting engines. Remember that attacks can be performed on different parts of the HTTP request, such as the HTTP header, query string, or URI.
Configure the AWS WAF rules to inspect different parts of the HTTP request against the built-in mitigation engines.


NEW QUESTION # 129
A company is using a centralized AWS account to store log data in various Amazon S3 buckets. A solutions architect needs to ensure that the data is encrypted at rest before the data is uploaded to the S3 buckets. The data also must be encrypted in transit.
Which solution meets these requirements?

  • A. Use server-side encryption to encrypt the data that is being uploaded to the S3 buckets.
  • B. Enable the security option to encrypt the S3 buckets through the use of a default AWS Key Management Service (AWS KMS) key.
  • C. Create bucket policies that require the use of server-side encryption with S3 managed encryption keys (SSE-S3) for S3 uploads.
  • D. Use client-side encryption to encrypt the data that is being uploaded to the S3 buckets.

Answer: D

Explanation:
Client-side encryption is a method of encrypting data before uploading it to Amazon S3. It allows users to manage the encryption process, encryption keys, and related tools1. By using client-side encryption, the solution can ensure that the data is encrypted at rest and in transit, as Amazon S3 will not have access to the encryption keys or the unencrypted data2.


NEW QUESTION # 130
An Amazon EC2 administrator created the following policy associated with an IAM group containing several users

What is the effect of this policy?

  • A. Users can terminate an EC2 instance in any AWS Region except us-east-1.
  • B. Users can terminate an EC2 instance with the IP address 10 100 100 1 in the us-east-1 Region
  • C. Users can terminate an EC2 instance in the us-east-1 Region when the user's source IP is
    10.100.100.254.
  • D. Users cannot terminate an EC2 instance in the us-east-1 Region when the user's source IP is 10.100 100
    254

Answer: C

Explanation:
as the policy prevents anyone from doing any EC2 action on any region except us-east-1 and allows only users with source ip 10.100.100.0/24 to terminate instances. So user with source ip 10.100.100.254 can terminate instances in us-east-1 region.


NEW QUESTION # 131
......

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