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Amazon SAA-C03 Exam is a certification test designed for IT professionals who want to demonstrate their expertise in designing and deploying scalable, fault-tolerant systems on the Amazon Web Services (AWS) platform. It is an associate-level certification exam that evaluates the candidate's understanding of AWS architecture, deployment, and management principles.
To prepare for the Amazon SAA-C03 certification exam, candidates can take advantage of various resources, including AWS training courses, whitepapers, and practice exams. AWS offers a range of training courses, including classroom-based training, virtual instructor-led training, and self-paced online training, designed to help candidates prepare for the exam. Candidates can also take practice exams to test their knowledge and identify areas where they need to improve.
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Amazon SAA-C03 Exam is updated to reflect the latest AWS services and features, making it a reliable measure of candidates' knowledge and skills in AWS. SAA-C03 exam covers a broad range of topics, including AWS core services, security, database, and networking. Successful candidates are expected to be able to design and deploy scalable, cost-effective solutions that meet the specific needs of their clients or organizations.
NEW QUESTION # 11
A company that hosts its web application on AWS wants to ensure all Amazon EC2 instances. Amazon RDS DB instances. and Amazon Redshift clusters are configured with tags. The company wants to minimize the effort of configuring and operating this check.
What should a solutions architect do to accomplish this?
Answer: C
NEW QUESTION # 12
A company hosts its multi-tier, public web application in the AWS Cloud. The web application runs on Amazon EC2 instances, and its database runs on Amazon RDS. The company is anticipating a large increase in sales during an upcoming holiday weekend. A solutions architect needs to build asolution to analyze the performance of the web application with a granularity of no more than 2 minutes. What should the solutions architect do to meet this requirement?
Answer: D
Explanation:
To analyze the performance of the web application with granularity of no more than 2 minutes, enablingdetailed monitoringon EC2 instances is the best solution. By default, CloudWatch provides metrics at a 5-minute interval. Enabling detailed monitoring allows you to collect metrics at 1-minute intervals, which will give you the level of granularity you need to analyze performance during peak traffic.
Amazon CloudWatch metrics can then be used to analyze CPU utilization, memory usage, disk I/O, and network throughput, among other performance-related metrics, at the desired granularity.
Option A: Sending CloudWatch logs to Redshift for analysis is unnecessary and overcomplicated for simple performance analysis, which can be done using CloudWatch metrics alone.
Option C: Fetching EC2 logs via Lambda adds complexity, and CloudWatch metrics already provide the required data for performance analysis.
Option D: Sending logs to S3 and using Redshift for analysis is also more complex than necessary for simple performance monitoring.
NEW QUESTION # 13
A company runs an application in a VPC on AWS. The company's on-premises data center has a DNS server. The data center is connected to AWS through an AWS Direct Connect connection with a private virtual interface (VIF). The on-premises DNS server needs to resolve the DNS name of the application in the VPC.
Answer: D
Explanation:
When on-premises DNS servers need to resolve private DNS names in a VPC, the correct pattern is to create a Route 53 Resolver inbound endpoint. The inbound endpoint allows DNS queries to flow from the on-premises environment into the VPC, where Route 53 can resolve VPC-specific names (such as private hosted zones or private resource records). Outbound endpoints (C) are for sending VPC DNS queries to on-premises, not the reverse. Verified Access (A) is unrelated to DNS resolution. Direct Connect (B) provides network connectivity but does not provide DNS forwarding capabilities. Therefore, option D is the correct design.
Reference:
* Amazon Route 53 Resolver Developer Guide - Inbound and outbound endpoints
* AWS Well-Architected Framework - Security Pillar: Hybrid DNS integration
NEW QUESTION # 14
A company produces batch data that comes from different databases. The company also produces live stream data from network sensors and application APIs. The company needs to consolidate all the data into one place for business analytics. The company needs to process the incoming data and then stage the data in different Amazon S3 buckets. Teams will later run one-time queries and import the data into a business intelligence tool to show key performance indicators (KPIs).
Which combination of steps will meet these requirements with the LEAST operational overhead? (Choose two.)
Answer: C,D
Explanation:
Amazon Athena is the best choice for running one-time queries on streaming data. Although Amazon Kinesis Data Analytics provides an easy and familiar standard SQL language to analyze streaming data in real-time, it is designed for continuous queries rather than one-time queries[1]. On the other hand, Amazon Athena is a serverless interactive query service that allows querying data in Amazon S3 using SQL. It is optimized for ad-hoc querying and is ideal for running one-time queries on streaming data[2].AWS Lake Formation uses as a central place to have all your data for analytics purposes (E). Athena integrate perfect with S3 and can makes queries (A).
NEW QUESTION # 15
A company runs an application using Amazon ECS. The application creates resized versions of an original image and then makes Amazon S3 API calls to store the resized images in Amazon S3.
How can a solutions architect ensure that the application has permission to access Amazon $3?
Answer: A
Explanation:
This answer is correct because it allows the application to access Amazon S3 by using an IAM role that is associated with the ECS task. The task role grants permissions to the containers running in the task, and can be used to make AWS API calls from the application code. The taskRoleArn is a parameter in the task definition that specifies the IAM role to use for the task.
Reference:
https://docs.aws.amazon.com/AmazonECS/latest/developerguide/task-iam-roles.html
https://docs.aws.amazon.com/AmazonECS/latest/APIReference/API_TaskDefinition.html
NEW QUESTION # 16
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