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The AWS Certified Solutions Architect - Professional (SAP-C02) exam covers a wide range of topics, including AWS services and their integration, AWS architecture best practices, disaster recovery and business continuity, migration strategies, and security best practices. SAP-C02 exam also tests the candidate's knowledge of AWS cost optimization, deployment and management, and troubleshooting.
Amazon SAP-C02 exam is a certification program that is designed for professionals who want to demonstrate their advanced skills and knowledge in Amazon Web Services (AWS) solutions architecture. AWS Certified Solutions Architect - Professional (SAP-C02) certification validates the candidate's ability to design and deploy scalable, highly available, and fault-tolerant systems on the AWS platform. AWS Certified Solutions Architect - Professional (SAP-C02) certification covers a wide range of topics, including AWS services, architecture patterns, data management, security, and more. AWS Certified Solutions Architect - Professional (SAP-C02) certification is intended for experienced AWS professionals who are looking to take their career to the next level.
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NEW QUESTION # 283
A company is running a two-tier web-based application in an on-premises data center. The application layer consists of a single server running a stateful application. The application connects to a PostgreSQL database running on a separate server. The application's user base is expected to grow significantly, so the company is migrating the application and database to AWS. The solution will use Amazon Aurora PostgreSQL. Amazon EC2 Auto Scaling, and Elastic Load Balancing.
Which solution will provide a consistent user experience that will allow the application and database tiers to scale?
Answer: D
NEW QUESTION # 284
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: A,E
NEW QUESTION # 285
A manufacturing company is building an inspection solution for its factory. The company has IP cameras at the end of each assembly line. The company has used Amazon SageMaker to train a machine learning (ML) model to identify common defects from still images.
The company wants to provide local feedback to factory workers when a defect is detected. The company must be able to provide this feedback even if the factory's internet connectivity is down. The company has a local Linux server that hosts an API that provides local feedback to the workers.
How should the company deploy the ML model to meet these requirements?
Answer: A
Explanation:
The company should use AWS IoT Greengrass to deploy the ML model to the local server and provide local feedback to the factory workers. AWS IoT Greengrass is a service that extends AWS cloud capabilities to local devices, allowing them to collect and analyze data closer to the source of information, react autonomously to local events, and communicate securely with each other on local networks1. AWS IoT Greengrass also supports ML inference at the edge, enabling devices to run ML models locally without requiring internet connectivity2.
The other options are not correct because:
Setting up an Amazon Kinesis video stream from each IP camera to AWS would not work if the factory's internet connectivity is down. It would also incur unnecessary costs and latency to stream video data to the cloud and back.
Ordering an AWS Snowball device would not be a scalable or cost-effective solution for deploying the ML model. AWS Snowball is a service that provides physical devices for data transfer and edge computing, but it is not designed for continuous operation or frequent updates3.
Deploying Amazon Monitron devices on each IP camera would not work because Amazon Monitron is a service that monitors the condition and performance of industrial equipment using sensors and machine learning, not cameras4.
References:
https://aws.amazon.com/greengrass/
https://docs.aws.amazon.com/greengrass/v2/developerguide/use-machine-learning-inference.html
https://aws.amazon.com/snowball/
https://aws.amazon.com/monitron/
NEW QUESTION # 286
A company runs an loT application in the AWS Cloud. The company has millions of sensors that collect data from houses in the United States. The sensors use the MOTT protocol to connect and send data to a custom MQTT broker. The MQTT broker stores the data on a single Amazon EC2 instance. The sensors connect to the broker through the domain named iot.example.com. The company uses Amazon Route 53 as its DNS service. The company stores the data in Amazon DynamoDB.
On several occasions, the amount of data has overloaded the MOTT broker and has resulted in lost sensor dat a. The company must improve the reliability of the solution.
Which solution will meet these requirements?
Answer: D
Explanation:
it describes a solution that uses an Application Load Balancer (ALB) and an Auto Scaling group for the MQTT broker. The ALB distributes incoming traffic across the instances in the Auto Scaling group and allows for automatic scaling based on incoming traffic. The use of an alias record in Route 53 allows for easy updates to the DNS record without changing the IP address. This solution improves the reliability of the MQTT broker by allowing it to automatically scale based on incoming traffic, reducing the likelihood of lost data due to broker overload.
Reference:
https://aws.amazon.com/elasticloadbalancing/applicationloadbalancer/
https://aws.amazon.com/autoscaling/
https://aws.amazon.com/route53/
NEW QUESTION # 287
A company is running several workloads in a single AWS account. A new company policy states that engineers can provision only approved resources and that engineers must use AWS CloudFormation to provision these resources. A solutions architect needs to create a solution to enforce the new restriction on the IAM role that the engineers use for access.
What should the solutions architect do to create the solution?
Answer: D
Explanation:
To enforce the new restriction on the IAM role that the engineers use for access, the solutions architect should update the IAM policy for the engineers' IAM role with permissions to only allow provisioning of approved resources and AWS CloudFormation. By doing this, the engineers will only be able to create resources that are explicitly approved and will be forced to use AWS CloudFormation to provision these resources.
The solutions architect should also use AWS CloudFormation templates to create stacks with approved resources. This allows the engineers to provision resources using the approved templates and ensures that only approved resources are created.
Reference:
https://aws.amazon.com/iam/
https://aws.amazon.com/cloudformation/
NEW QUESTION # 288
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