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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Design Cost-Optimized Architectures | 20% | - Cost-effective resource selection
|
| Topic 2: Design Secure Architectures | 30% | - Secure workloads and applications
|
| Topic 3: Design High-Performing Architectures | 24% | - Performance scaling
|
| Topic 4: Design Resilient Architectures | 26% | - Highly available architecture
|
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NEW QUESTION # 759
A company has a set of Linux servers running on multiple On-Demand EC2 Instances. The Audit team wants to collect and process the application log files generated from these servers for their report.
Which of the following services is best to use in this case?
Answer: A
Explanation:
Amazon EMR is a managed cluster platform that simplifies running big data frameworks, such as Apache Hadoop and Apache Spark, on AWS to process and analyze vast amounts of data. By using these frameworks and related open-source projects such as Apache Hive and Apache Pig, you can process data for analytics purposes and business intelligence workloads. Additionally, you can use Amazon EMR to transform and move large amounts of data into and out of other AWS data stores and databases such as Amazon Simple Storage Service (Amazon S3) and Amazon DynamoDB.
Hence, the correct answer is: Amazon S3 for storing the application log files and Amazon Elastic MapReduce for processing the log files.
The option that says: Amazon S3 Glacier for storing the application log files and Spot EC2 Instances for processing them is incorrect as Amazon S3 Glacier is used for data archive only.
The option that says: A single On-Demand Amazon EC2 instance for both storing and processing the log files is incorrect as an EC2 instance is not a recommended storage service. In addition, Amazon EC2 does not have a built-in data processing engine to process large amounts of data.
The option that says: Amazon S3 Glacier Deep Archive for storing the application log files and AWS ParallelCluster for processing the log files is incorrect because the long retrieval time of Amazon S3 Glacier Deep Archive makes this option unsuitable. Moreover, AWS ParallelCluster is just an AWS- supported open-source cluster management tool that makes it easy for you to deploy and manage High- Performance Computing (HPC) clusters on AWS. ParallelCluster uses a simple text file to model and provision all the resources needed for your HPC applications in an automated and secure manner.
References:
http://docs.aws.amazon.com/emr/latest/ManagementGuide/emr-what-is-emr.html
https://aws.amazon.com/hpc/parallelcluster/
Check out this Amazon EMR Cheat Sheet:
https://tutorialsdojo.com/amazon-emr/
NEW QUESTION # 760
A company is building an ecommerce application and needs to store sensitive customer information. The company needs to give customers the ability to complete purchase transactions on the website. The company also needs to ensure that sensitive customer data is protected, even from database administrators.
Which solution meets these requirements?
Answer: B
Explanation:
it allows the company to store sensitive customer information in a managed AWS service and give customers the ability to complete purchase transactions on the website. By using AWS Key Management Service (AWS KMS) client-side encryption, the company can encrypt the data before sending it to Amazon RDS for MySQL. This ensures that sensitive customer data is protected, even from database administrators, as only the application has access to the encryption keys. References:
Using Encryption with Amazon RDS for MySQL
Encrypting Amazon RDS Resources
NEW QUESTION # 761
A company wants to protect resources that the company hosts on AWS, including Application Load Balancers and Amazon CloudFront distributions.
The company wants an AWS service that can provide near real-time visibility into attacks on the company's resources. The service must also have a dedicated AWS team to assist with DDoS attacks.
Which AWS service will meet these requirements?
Answer: D
Explanation:
AWS Shield Advanced provides:
Advanced DDoS detection and mitigation
24/7 access to the AWS DDoS Response Team (DRT)
Real-time metrics and alerts via CloudWatch
Integrated with CloudFront, ALB, Route 53, and Global Accelerator
"Shield Advanced provides enhanced detection and mitigation for more sophisticated DDoS attacks and gives you access to the AWS DDoS Response Team (DRT)."
- AWS Shield Advanced Overview
Incorrect Options:
A (AWS WAF): For application-layer filtering only.
B (Shield Standard): Basic protection, no DRT or attack visibility.
C (Macie): Used for discovering sensitive data in S3, unrelated to DDoS.
Reference:
AWS Shield Advanced
Shield vs Shield Advanced
NEW QUESTION # 762
A company is planning to migrate a commercial off-the-shelf application from is on-premises data center to AWS. The software has a software licensing model using sockets and cores with predictable capacity and uptime requirements. The company wants to use its existing licenses, which were purchased earlier this year.
Which Amazon EC2 pricing option is the MOST cost-effective?
Answer: C
Explanation:
Explanation
https://aws.amazon.com/ec2/dedicated-hosts/ Amazon EC2 Dedicated Hosts allow you to use your eligible software licenses from vendors such as Microsoft and Oracle on Amazon EC2, so that you get the flexibility and cost effectiveness of using your own licenses, but with the resiliency, simplicity and elasticity of AWS.
NEW QUESTION # 763
A company needs to ingested and handle large amounts of streaming data that its application generates. The application runs on Amazon EC2 instances and sends data to Amazon Kinesis Data Streams. which is contained wild default settings. Every other day the application consumes the data and writes the data to an Amazon S3 bucket for business intelligence (BI) processing the company observes that Amazon S3 is not receiving all the data that trio application sends to Kinesis Data Streams.
What should a solutions architect do to resolve this issue?
Answer: B
Explanation:
The data retention period of a Kinesis data stream is the time period from when a record is added to when it is no longer accessible1. The default retention period for a Kinesis data stream is 24 hours, which can be extended up to 8760 hours (365 days)1. The data retention period can be updated by using the AWS Management Console, the AWS CLI, or the Kinesis Data Streams API1.
To meet the requirements of the scenario, the solutions architect should update the Kinesis Data Streams default settings by modifying the data retention period. The solutions architect should increase the retention period to a value that is greater than or equal to the frequency of consuming the data and writing it to S32. This way, the company can ensure that S3 receives all the data that the application sends to Kinesis Data Streams.
NEW QUESTION # 764
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