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Amazon SAA-C03 Certification is highly valued by employers, and it can significantly boost one’s career prospects in the field of cloud computing. AWS Certified Solutions Architect - Associate certification is recognized worldwide and can open up a range of job opportunities in various industries. AWS Certified Solutions Architect - Associate certification also demonstrates one’s commitment to continuous learning and professional development, which is highly valued by employers.
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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.
NEW QUESTION # 141
Organizers for a global event want to put daily reports online as static HTML pages. The pages are expected to generate millions of views from users around the world. The files are stored In an Amazon S3 bucket. A solutions architect has been asked to design an efficient and effective solution.
Which action should the solutions architect take to accomplish this?
Answer: C
Explanation:
Amazon CloudFront is a content delivery network (CDN) that speeds up the delivery of static and dynamic web content, such as HTML pages, images, and videos. By using CloudFront, the HTML pages will be served to users from the edge location that is closest to them, resulting in faster delivery and a better user experience. CloudFront can also handle the high traffic and large number of requests expected for the global event, ensuring that the HTML pages are available and accessible to users around the world.
NEW QUESTION # 142
A company that uses AWS Organizations runs 150 applications across 30 different AWS accounts. The company used AWS Cost and Usage Report to create a new report in the management account. The report is delivered to an Amazon S3 bucket that is replicated to a bucket in the data collection account.
The company's senior leadership wants to view a custom dashboard that provides NAT gateway costs each day starting at the beginning of the current month.
Which solution will meet these requirements?
Answer: A
Explanation:
The AWS Cost and Usage Report (CUR) delivers detailed, line-item billing data to Amazon S3. AWS recommends querying CUR with Amazon Athena by creating external tables over the CUR S3 location (partitioned by time) to produce daily cost aggregations such as NAT Gateway (EC2:NatGateway) usage and cost. Amazon QuickSight natively connects to Athena as a data source to build and share dashboards with visuals (tables, time series) filtered from the start of the current month. DataSync (A, C) is a file transfer service and cannot query data. CloudWatch dashboards (C, D) visualize metrics/logs, not CUR datasets.
Therefore, using Athena to query CUR and QuickSight to present a daily NAT gateway cost dashboard is the most direct and operationally efficient approach.
References: CUR - querying with Amazon Athena; QuickSight - Athena data source; Cost categories and service/usage type fields for NAT Gateway; AWS Cost Management best practices.
NEW QUESTION # 143
A company is using Amazon CloudFront with its website. The company has enabled logging on the CloudFront distribution, and logs are saved in one of the company ' s Amazon S3 buckets. The company needs to perform advanced analyses on the logs and build visualizations.
What should a solutions architect do to meet these requirements?
Answer: B
Explanation:
The best combination isAmazon Athenafor SQL-based analysis andAmazon QuickSightfor visualization.
AWS documentation includes Athena guidance for creating tables over sampleCloudFront log datastored in Amazon S3, which makes Athena a direct fit for querying those logs without infrastructure management.
AWS also describes QuickSight as a scalable business intelligence service for building dashboards and visualizations from query results. Glue is primarily for data cataloging and ETL, not end-user visualization.
DynamoDB is not a SQL analytics engine for S3 log files. For advanced analysis of CloudFront logs and dashboard-style visualizations, Athena plus QuickSight is the correct AWS-native pattern. (AWS Documentation)
NEW QUESTION # 144
A company is building a new web application on AWS. The application needs to consume files from a legacy on-premises application that runs a batch process and outputs approximately 1 GB of data every night to an NFS file mount.
A solutions architect needs to design a storage solution that requires minimal changes to the legacy application and keeps costs low.
Which solution will meet these requirements MOST cost-effectively?
Answer: C
Explanation:
Amazon S3 File Gateway provides a local NFS mount point, which can be used with minimal changes by the legacy application. Files are transparently uploaded to Amazon S3, allowing the web application to access them directly from S3. This is the most cost-effective and operationally simple way to bridge legacy on- premises NFS output with S3, requiring no changes to the batch process.
AWS Documentation Extract:
"With S3 File Gateway, you can provide applications a local file interface to Amazon S3. S3 File Gateway presents a file-based interface (NFS or SMB), allowing you to use S3 as your scalable, durable storage while making files available to legacy applications." (Source: AWS Storage Gateway documentation) A: Outposts is far more costly and complex than needed.
B: Volume Gateway presents iSCSI block storage, not NFS.
C: Requires re-coding the legacy app to use S3 APIs, not NFS.
Reference: AWS Certified Solutions Architect - Official Study Guide, Hybrid Storage Solutions.
NEW QUESTION # 145
A company wants to rearchitect a large-scale web application to a serverless microservices architecture. The application uses Amazon EC2 instances and is written in Python.
The company selected one component of the web application to test as a microservice. The component supports hundreds of requests each second. The company wants to create and test the microservice on an AWS solution that supports Python. The solution must also scale automatically and require minimal infrastructure and minimal operational support.
Which solution will meet these requirements?
Answer: B
Explanation:
AWS Lambda is a serverless compute service that lets you run code without provisioning or managing servers. You can use Lambda to create and test microservices that are written in Python or other supported languages. Lambda scales automatically to handle the number of requests per second. You only pay for the compute time you consume. Lambda also integrates with other AWS services, such as Amazon API Gateway, Amazon S3, Amazon DynamoDB, and Amazon SQS, to enable event-driven architectures. Lambda has minimal infrastructure and operational overhead, as you do not need to manage servers, operating systems, patches, or scaling policies.
The other options are not serverless solutions and require more infrastructure and operational support. They also do not scale automatically to handle the number of requests per second. A Spot Fleet is a collection of EC2 instances that run on spare capacity at low prices. However, Spot Instances can be interrupted by AWS at any time, which can affect the availability and performance of your microservice. AWS Elastic Beanstalk is a service that automates the deployment and management of web applications on EC2 instances. However, you still need to provision, configure, and monitor the underlying EC2 instances and load balancers. Amazon EKS is a service that runs Kubernetes on AWS. However, you still need to create, configure, and manage the EC2 instances that form the Kubernetes cluster and nodes. You also need to install and update the Kubernetes software and tools.
Reference:
What is AWS Lambda?
Building Lambda functions with Python
Create a layer for a Lambda Python function
AWS Lambda - Function in Python
How do I call my AWS Lambda function from a local python script?
NEW QUESTION # 146
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