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Amazon SAA-C03 Exam consists of multiple-choice and multiple-response questions. SAA-C03 exam covers a wide variety of topics, including AWS core services, security, database, networking, compute, and storage. Candidates are required to have a deep understanding of AWS services and their integration with each other to create solutions that meet specific business needs. In addition, candidates are expected to have experience with AWS best practices and the ability to identify and resolve common issues that arise when working with AWS.
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Achieving the Amazon AWS Certified Solutions Architect - Associate certification demonstrates a candidate's ability to design and deploy scalable and reliable AWS solutions, which are highly valued by employers. AWS Certified Solutions Architect - Associate certification also provides access to various AWS resources, including training and certification, which can help IT professionals to advance their careers in cloud computing. Additionally, the certification is a prerequisite for the AWS Certified Solutions Architect - Professional certification, which validates a candidate's ability to design and deploy advanced AWS solutions.
NEW QUESTION # 157
A bicycle sharing company is developing a multi-tier architecture to track the location of its bicycles during peak operating hours The company wants to use these data points in its existing analytics platform A solutions architect must determine the most viable multi-tier option to support this architecture The data points must be accessible from the REST API.
Which action meets these requirements for storing and retrieving location data?
Answer: B
Explanation:
https://aws.amazon.com/solutions/implementations/aws-streaming-data-solution-for-amazon-kinesis/
NEW QUESTION # 158
[Design Secure Architectures]
A company's ecommerce website has unpredictable traffic and uses AWS Lambda functions to directly access a private Amazon RDS for PostgreSQL DB instance. The company wants to maintain predictable database performance and ensure that the Lambda invocations do not overload the database with too many connections.
What should a solutions architect do to meet these requirements?
Answer: D
Explanation:
To maintain predictable database performance and ensure that the Lambda invocations do not overload the database with too many connections, a solutions architect should point the client driver at an RDS proxy endpoint and deploy the Lambda functions inside a VPC. An RDS proxy is a fully managed database proxy that allows applications to share connections to a database, improving database availability and scalability. By using an RDS proxy, the Lambda functions can reuse existing connections, rather than creating new ones for every invocation, reducing the connection overhead and latency. Deploying the Lambda functions inside a VPC allows them to access the private RDS DB instance securely and efficiently, without exposing it to the public internet. Reference:
Using Amazon RDS Proxy with AWS Lambda
Configuring a Lambda function to access resources in a VPC
NEW QUESTION # 159
A company wants to analyze and troubleshoot Access Denied errors and Unauthonzed errors that are related to
1AM permissions The company has AWS CloudTrail turned on Which solution will meet these requirements with the LEAST effort?
Answer: C
Explanation:
This solution meets the following requirements:
* It is the least effort, as it does not require any additional AWS services, custom scripts, or data processing steps. Amazon Athena is a serverless interactive query service that allows you to analyze data in Amazon S3 using standard SQL. You can use Athena to query CloudTrail logs directly from the S3 bucket where they are stored, without any data loading or transformation. You can also use the AWS Management Console, the AWS CLI, or the Athena API to run and manage your queries.
* It is effective, as it allows you to filter, aggregate, and join CloudTrail log data using SQL syntax. You can use various SQL functions and operators to specify the criteria for identifying Access Denied and Unauthorized errors, such as the error code, the user identity, the event source, the event name, the event time, and the resource ARN. You can also use subqueries, views, and common table expressions to simplify and optimize your queries.
* It is flexible, as it allows you to customize and save your queries for future use. You can also export the query results to other formats, such as CSV or JSON, or integrate them with other AWS services, such
* as Amazon QuickSight, for further analysis and visualization.
References:
* Querying AWS CloudTrail Logs - Amazon Athena
* Analyzing Data in S3 using Amazon Athena | AWS Big Data Blog
* Troubleshoot IAM permisson access denied or unauthorized errors | AWS re:Post
NEW QUESTION # 160
A company ' s data platform uses an Amazon Aurora MySQL database. The database has multiple read replicas and multiple DB instances across different Availability Zones. Users have recently reported errors from the database that indicate that there are too many connections. The company wants to reduce the failover time by 20% when a read replica is promoted to primary writer.
Which solution will meet this requirement?
Answer: B
Explanation:
Amazon RDS Proxyis the correct answer because it is specifically designed to improve connection handling for relational databases, including Aurora. AWS documentation explains that RDS Proxy providesconnection pooling, helps handleunpredictable surges in database traffic, and automatically determines the current Aurora writer instance. That reduces the stress of large numbers of short-lived connections and improves application behavior during failover events because clients reconnect through the proxy rather than directly to database endpoints. Switching database engines would be unnecessary and disruptive. DAX is for DynamoDB, not Aurora. Therefore, placingRDS Proxyin front of the Aurora cluster is the most direct way to reduce connection pressure and improve failover behavior. (AWS Documentation)
NEW QUESTION # 161
A company is using AWS Identity and Access Management (IAM) Access Analyzer to refine IAM permissions for employee users. The company uses an organization in AWS Organizations and AWS Control Tower to manage its AWS accounts. The company has designated a specific member account as an audit account.
A solutions architect needs to set up IAM Access Analyzer to aggregate findings from all member accounts in the audit account.
What is the first step the solutions architect should take?
Answer: C
Explanation:
The first step is to configure a delegated administrator account for IAM Access Analyzer at the organization level. Only after delegating the administrator account can you aggregate Access Analyzer findings from all member accounts into a designated audit account. This must be set up in the AWS Organizations management account.
AWS Documentation Extract:
"You must designate a delegated administrator for IAM Access Analyzer at the organization level. The delegated administrator account aggregates findings from all member accounts." (Source: IAM Access Analyzer documentation) A, C, D: These steps do not establish the organization-wide aggregation required for Access Analyzer.
Reference: AWS Certified Solutions Architect - Official Study Guide, Access Analyzer Delegation.
NEW QUESTION # 162
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