A company has been storing analytics data in an Amazon RDS instance for the past few years. The company asked a solutions architect to find a solution that allows users to access this data using an API The expectation is that the application will experience periods of inactivity but could receive bursts of traffic within seconds Which solution should the solutions architect suggest?

• A.Set up an Amazon API Gateway and use Amazon ECS.
• B.Set up an Amazon API Gateway and use AWS Elastic Beanstalk.
• C.Set up an Amazon API Gateway and use AWS Lambda functions
• D.Set up an Amazon API Gateway and use Amazon EC2 with Auto Scaling

Correct Answer: C

Explanation
AWS Lambda
With Lambda, you can run code for virtually any type of application or backend service - all with zero administration. Just upload your code and Lambda takes care of everything required to run and scale your code with high availability. You can set up your code to automatically trigger from other AWS services or call it directly from any web or mobile app.

Amazon API Gateway
Amazon API Gateway is a fully managed service that makes it easy for developers to create, publish, maintain, monitor, and secure APIs at any scale. APIs act as the "front door" for applications to access data, business logic, or functionality from your backend services. Using API Gateway, you can create RESTful APIs and WebSocket APIs that enable real-time two-way communication applications. API Gateway supports containerized and serverless workloads, as well as web applications.
API Gateway handles all the tasks involved in accepting and processing up to hundreds of thousands of concurrent API calls, including traffic management, CORS support, authorization and access control, throttling, monitoring, and API version management. API Gateway has no minimum fees or startup costs. You pay for the API calls you receive and the amount of data transferred out and, with the API Gateway tiered pricing model, you can reduce your cost as your API usage scales.
https://aws.amazon.com/lambda/
https://aws.amazon.com/api-gateway/

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A company has a large dataset for its online advertising business stored in an Amazon RDS for MySQL DB instance in a single Availability Zone. The company wants business reporting queries to run without impacting the write operations to the production DB instance.
Which solution meets these requirements?

• A.Scale up the DB instance to a larger instance type to handle write operations and queries.
• B.Deploy the DB instance in multiple Availability Zones to process the business reporting queries.
• C.Deploy RDS read replicas to process the business reporting queries.
• D.Scale out the DB instance horizontally by placing it behind an Elastic Load Balancer

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An application running on AWS uses an Amazon Aurora Multi-AZ deployment for its database.
When evaluating performance metrics, a solutions architect discovered that the database reads are causing high I/O and adding latency to the write requests against the database.
What should the solutions architect do to separate the read requests from the write requests?

• A.Enable read-through caching on the Amazon Aurora database
• B.Update the application to read from the Multi-AZ standby instance
• C.Create a read replica and modify the application to use the appropriate endpoint
• D.Create a second Amazon Aurora database and link it to the primary database as a read replica.

Correct Answer: C

Aurora Replicas are independent endpoints in an Aurora DB cluster, best used for scaling read operations and increasing availability. Up to 15 Aurora Replicas can be distributed across the Availability Zones that a DB cluster spans within an AWS Region.
The DB cluster volume is made up of multiple copies of the data for the DB cluster. However, the data in the cluster volume is represented as a single, logical volume to the primary instance and to Aurora Replicas in the DB cluster.

As well as providing scaling for reads, Aurora Replicas are also targets for multi-AZ. In this case the solutions architect can update the application to read from the Multi-AZ standby instance.
References:
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/Aurora.Replication.html

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A company is developing an Internal application that uses a PostgreSQL database. The company has decided to host the database on Amazon Aurora The application does not need to be highly available but data must be stored in multiple Availability Zones to maximize durability.
Which database configuration meets these requirements MOST cost-effectively?

• A.An Aurora PostgreSQL DB cluster with a single DB Instance
• B.An Aurora PostgreSQL DB cluster with a primary DB instance and a read replica
• C.An Aurora PostgreSQL global database cluster
• D.An Aurora PostgreSQL DB cluster with Multi-AZ deployment enabled

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A group requires permissions to list an Amazon S3 bucket and delete objects from that bucket. An administrator has created the following IAM policy to provide access to the bucket and applied that policy to the group. The group is not able to delete objects in the bucket. The company follows least-privilege access rules.

Which statement should a solutions architect add lo the policy to correct bucket access?
A)

B)

C)

D)

• A.Option D
• B.Option B
• C.Option A
• D.Option C

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