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The Amazon SAA-C03 exam consists of multiple-choice and multiple-response questions, which are designed to test your understanding of AWS services and how they are used to design and deploy solutions in the cloud. SAA-C03 exam is timed and lasts for 130 minutes. To pass the exam, you must achieve a minimum score of 720 out of 1000.
Amazon AWS Certified Solutions Architect - Associate (SAA-C03) certification exam is designed for professionals who want to validate their skills and knowledge 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 a valuable asset for IT professionals who want to demonstrate their expertise in cloud computing and AWS technologies.
Amazon SAA-C03 Certification Exam is a comprehensive exam that covers a wide range of topics related to AWS, including EC2, S3, RDS, VPC, IAM, and many other services. SAA-C03 exam consists of 65 multiple-choice and multiple-response questions and has a duration of 130 minutes. SAA-C03 exam is available in English, Japanese, Korean, and Simplified Chinese.
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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q283-Q288):
NEW QUESTION # 283
A global ecommerce company runs its critical workloads on AWS. The workloads use an Amazon RDS for PostgreSQL DB instance that is configured for a Multi-AZ deployment.
Customers have reported application timeouts when the company undergoes database failovers. The company needs a resilient solution to reduce failover time Which solution will meet these requirements?
Answer: A
Explanation:
Amazon RDS Proxy: RDS Proxy is a fully managed, highly available database proxy that makes applications more resilient to database failures by pooling and sharing connections, and it can automatically handle database failovers.
Reduced Failover Time: By using RDS Proxy, the connection management between the application and the database is improved, reducing failover times significantly. RDS Proxy maintains connections in a connection pool and reduces the time required to re-establish connections during a failover.
Configuration:
Create an RDS Proxy instance.
Configure the proxy to connect to the RDS for PostgreSQL DB instance.
Modify the application configuration to use the RDS Proxy endpoint instead of the direct database endpoint.
Operational Benefits: This solution provides high availability and reduces application timeouts during failovers with minimal changes to the application code.
Reference:
Amazon RDS Proxy
Setting Up RDS Proxy
NEW QUESTION # 284
A company has an on-premises MySQL database that handles transactional data. The company is migrating the database to the AWS Cloud. The migrated database must maintain compatibility with the company's applications that use the database. The migrated database also must scale automatically during periods of increased demand.
Which migration solution will meet these requirements?
Answer: C
Explanation:
To migrate a MySQL database to AWS with compatibility and scalability, Amazon Aurora is a suitable option. Aurora is compatible with MySQL and can scale automatically with Aurora Auto Scaling. AWS Database Migration Service (AWS DMS) can be used to migrate the database from on-premises to Aurora with minimal downtime.
References:
What Is Amazon Aurora?
Using Amazon Aurora Auto Scaling with Aurora Replicas
What Is AWS Database Migration Service?
NEW QUESTION # 285
[Design Cost-Optimized Architectures]
A company hosts an application used to upload files to an Amazon S3 bucket Once uploaded, the files are processed to extract metadata which takes less than 5 seconds The volume and frequency of the uploads varies from a few files each hour to hundreds of concurrent uploads The company has asked a solutions architect to design a cost-effective architecture that will meet these requirements.
What should the solutions architect recommend?
Answer: D
Explanation:
This option is the most cost-effective and scalable way to process the files uploaded to S3. AWS CloudTrail is used to log API calls, not to trigger actions based on them. AWS AppSync is a service for building GraphQL APIs, not for processing files. Amazon Kinesis Data Streams is used to ingest and process streaming data, not to send data to S3. Amazon SNS is a pub/sub service that can be used to notify subscribers of events, not to process files. Reference:
Using AWS Lambda with Amazon S3
AWS CloudTrail FAQs
What Is AWS AppSync?
[What Is Amazon Kinesis Data Streams?]
[What Is Amazon Simple Notification Service?]
NEW QUESTION # 286
[Design High-Performing Architectures]
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?
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 PostgreSQLdatabase. 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 # 287
An e-commerce company stores inventory, order, and user information in multiple Amazon Redshift clusters. The Redshift clusters must comply with the company's security policies. The company must receive notifications about any security configuration violations.
Which solution will meet these requirements?
Answer: A
Explanation:
Comprehensive and Detailed Step-by-Step
The company needsautomatic monitoringandnotificationsforsecurity violationsin Amazon Redshift clusters.
Option A:❌
Create an Amazon EventBridge rule that uses the Redshift clusters as the source. Create an AWS Lambda function to evaluate the Redshift cluster security configuration. Configure the Lambda function to notify the company of any violations of the security policies. Add the Lambda function as a target of the EventBridge rule.
EventBridgecan trigger actionsbased on events.
However, itdoes not track changesin Redshift security configurations.
Why not?AWS Configis bettersuited forcompliance monitoring.
Reference:
Option B:❌
Create an AWS Lambda function to check the validity of the Redshift cluster security configurations. Create an Amazon EventBridge rule that invokes the Lambda function when Redshift clusters are created. Notify the company of any violations of security policies.
This solutiononly checks security at cluster creation.
Itdoes not detect changesthat happenafter the cluster is created.
Why not?Security policiesneed continuous monitoring.
Option C:❌
Set up Amazon Redshift Advisor in the company's AWS account to monitor cluster configurations. Configure Redshift Advisor to generate notifications for security items that the company must address.
Redshift Advisorprovides performance tuning recommendationsbutdoes not monitor security settings.
Why not?Itdoes not provide compliance checks.
Option D:✅
Create an AWS Lambda function to check the Redshift clusters for any violation of the security configurations. Create an AWS Config custom rule to invoke the Lambda function when Redshift cluster security configurations are modified. Provide the compliance state of each Redshift cluster to AWS Config. Configure AWS Config to notify the company of any violations of the security policies.
AWS Configtracksconfiguration changesin Redshift clusters.
Custom AWS Config rulesallowsecurity compliance enforcement.
Lambdacan performcustom security checksand notify the company.
Why is this best?AWS Config isdesigned for compliance monitoring.
NEW QUESTION # 288
......
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