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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Design for New Solutions | 29% | - Scalable and resilient architecture - High availability and disaster recovery - Performance and reliability design - Security and data protection - Service selection and integration |
| Topic 2: Continuous Improvement for Existing Solutions | 25% | - Security posture improvement - Operational efficiency - Performance tuning - Cost optimization strategies - Automation and infrastructure as code |
| Topic 3: Accelerate Workload Migration and Modernization | 20% | - Modernization approaches - Data transfer and synchronization - Application and database migration - Migration validation and cutover - Migration strategies and planning |
| Topic 4: Design Solutions for Organizational Complexity | 26% | - Cost visibility and management - Compliance and regulatory requirements - Centralized governance and security - Multi-account and multi-region architecture - Hybrid network connectivity |
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NEW QUESTION # 190
A large real-estate brokerage is exploring the option of adding a cost-effective location based alert to their existing mobile application. The application backend infrastructure currently runs on AWS. Users who opt in to this service will receive alerts on their mobile device regarding real-estate otters in proximity to their location. For the alerts to be relevant delivery time needs to be in the low minute count the existing mobile app has 5 million users across the US.
Which one of the following architectural suggestions would you make to the customer?
Answer: B
NEW QUESTION # 191
A company has mounted sensors to collect information about environmental parameters such as humidity and light throughout all the company's factories. The company needs to stream and analyze the data in the AWS Cloud in real time. If any of the parameters fall out of acceptable ranges, the factory operations team must receive a notification immediately.
Which solution will meet these requirements?
Answer: A
Explanation:
The best solution is to stream the data to an Amazon Kinesis data stream and create an AWS Lambda function to consume the Kinesis data stream and to analyze the data. Amazon Kinesis is a web service that can collect, process, and analyze real-time streaming data from various sources, such as sensors. AWS Lambda is a serverless computing service that can run code in response to events, such as incoming data from a Kinesis data stream. By using AWS Lambda, the company can avoid provisioning or managing servers and scale automatically based on the demand. Amazon Simple Notification Service (Amazon SNS) is a web service that enables applications to send and receive notifications from the cloud. By using Amazon SNS, the company can notify the operations team immediately if any of the parameters fall out of acceptable ranges. This solution meets all the requirements of the company.
References: Amazon Kinesis Documentation, AWS Lambda Documentation, Amazon Simple Notification Service Documentation
NEW QUESTION # 192
A company has an on-premises monitoring solution using a PostgreSQL database for persistence of events.
The database is unable to scale due to heavy ingestion and it frequently runs out of storage.
The company wants to create a hybrid solution and has already set up a VPN connection between its network and AWS. The solution should include the following attributes:
* Managed AWS services to minimize operational complexity
* A buffer that automatically scales to match the throughput of data and requires no on-going administration.
* A visualization toot to create dashboards to observe events in near-real time.
* Support for semi -structured JSON data and dynamic schemas.
Which combination of components will enabled company to create a monitoring solution that will satisfy these requirements'' (Select TWO.)
Answer: C,D
Explanation:
Explanation
https://aws.amazon.com/kinesis/data-firehose/faqs/
NEW QUESTION # 193
A global manufacturing company plans to migrate the majority of its applications to AWS. However, the company is concerned about applications that need to remain within a specific country or in the company's central on-premises data center because of data regulatory requirements or requirements for latency of single-digit milliseconds. The company also is concerned about the applications that it hosts in some of its factory sites, where limited network infrastructure exists.
The company wants a consistent developer experience so that its developers can build applications once and deploy on premises, in the cloud, or in a hybrid architecture.
The developers must be able to use the same tools, APIs, and services that are familiar to them.
Which solution will provide a consistent hybrid experience to meet these requirements?
Answer: B
Explanation:
Explanation
Installing AWS Outposts for the applications that have data regulatory requirements or requirements for latency of single-digit milliseconds will provide a fully managed service that extends AWS infrastructure, services, APIs, and tools to customer premises1. AWS Outposts allows customers to run some AWS services locally and connect to a broad range of services available in the local AWS Region1. Using AWS Snowball Edge Compute Optimized devices to host the workloads in the factory sites will provide local compute and storage resources for locations with limited network infrastructure2. AWS Snowball Edge devices can run Amazon EC2 instances and AWS Lambda functions locally and sync data with AWS when network connectivity is available2.
NEW QUESTION # 194
With Amazon Elastic MapReduce (Amazon EMR) you can analyze and process vast amounts of data. The cluster is managed using an open-source framework called Hadoop. You have set up an application to run Hadoop jobs. The application reads data from DynamoDB and generates a temporary file of 100 TBs.
The whole process runs for 30 minutes and the output of the job is stored to S3. Which of the below mentioned options is the most cost effective solution in this case?
Answer: B
Explanation:
AWS EC2 Spot Instances allow the user to quote his own price for the EC2 computing capacity.
The user can simply bid on the spare Amazon EC2 instances and run them whenever his bid exceeds the current Spot Price. The Spot Instance pricing model complements the On-Demand and Reserved Instance pricing models, providing potentially the most cost-effective option for obtaining compute capacity, depending on the application. The only challenge with a Spot Instance is data persistence as the instance can be terminated whenever the spot price exceeds the bid price. In the current scenario a Hadoop job is a temporary job and does not run for a longer period. It fetches data from a persistent DynamoDB. Thus, even if the instance gets terminated there will be no data loss and the job can be re-run. As the output files are large temporary files, it will be useful to store data on ephermal storage for cost savings.
http://aws.amazon.com/ec2/purchasing-options/spot-instances/
NEW QUESTION # 195
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