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Amazon SAA-C03 Exam Syllabus Topics:

Topic 1
  • Storage types with associated characteristics
  • Design scalable and loosely coupled architectures
Topic 2
  • Design cost-optimized compute solutions
  • Design Cost-Optimized Architectures
Topic 3
  • Design highly available and
  • or fault-tolerant architectures
  • Determine high-performing and
  • or scalable network architectures.
Topic 4
  • Design secure access to AWS resources
  • Design Secure Architectures
Topic 5
  • Distributed computing concepts supported by AWS global infrastructure and edge services
  • Serverless technologies and patterns
Topic 6
  • Design Resilient Architectures
  • Design high-performing and elastic compute solutions
Topic 7
  • Storage types with associated characteristics
  • Design High-Performing Architectures
Topic 8
  • How to appropriately use edge accelerators
  • AWS managed services with appropriate use cases
Topic 9
  • Encryption and appropriate key management
  • Determine appropriate data security controls

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Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Exam Sample Questions (Q196-Q201):


A company hosts an application on multiple Amazon EC2 instances The application processes messages from an Amazon SQS queue writes to an Amazon RDS table and deletes the message from the queue Occasional duplicate records are found in the RDS table. The SQS queue does not contain any duplicate messages.

What should a solutions architect do to ensure messages are being processed once only?

  • A. Use the CreateQueue API call to create a new queue
  • B. Use the Add Permission API call to add appropriate permissions
  • C. Use the ReceiveMessage API call to set an appropriate wail time
  • D. Use the ChangeMessageVisibility APi call to increase the visibility timeout

Answer: D


The visibility timeout begins when Amazon SQS returns a message. During this time, the consumer processes and deletes the message. However, if the consumer fails before deleting the message and your system doesn't call the DeleteMessage action for that message before the visibility timeout expires, the message becomes visible to other consumers and the message is received again. If a message must be received only once, your consumer should delete it within the duration of the visibility timeout. Keyword: SQS queue writes to an Amazon RDS From this, Option D best suite &amp; other Options ruled out [Option A - You can't intruduce one more Queue in the existing one; Option B - only Permission &amp; Option C - Only Retrieves Messages] FIF O queues are designed to never introduce duplicate messages. However, your message producer might introduce duplicates in certain scenarios: for example, if the producer sends a message, does not receive a response, and then resends the same message. Amazon SQS APIs provide deduplication functionality that prevents your message producer from sending duplicates. Any duplicates introduced by the message producer are removed within a 5-minute deduplication interval. For standard queues, you might occasionally receive a duplicate copy of a message (at-least- once delivery). If you use a standard queue, you must design your applications to be idempotent (that is, they must not be affected adversely when processing the same message more than once).


A company is running a publicly accessible serverless application that uses Amazon API Gateway and AWS Lambd a. The application's traffic recently spiked due to fraudulent requests from botnets.

Which steps should a solutions architect take to block requests from unauthorized users? (Select TWO.)

  • A. Convert the existing public API to a private API. Update the DNS records to redirect users to the new API endpoint.
  • B. Create an IAM role for each user attempting to access the API. A user will assume the role when making the API call.
  • C. Implement an AWS WAF rule to target malicious requests and trigger actions to filter them out.
  • D. Integrate logic within the Lambda function to ignore the requests from fraudulent IP addresses.
  • E. Create a usage plan with an API key that is shared with genuine users only.

Answer: C,E



A company stores call transcript files on a monthly basis. Users access the files randomly within 1 year of the call, but users access the files infrequently after 1 year. The company wants to optimize its solution by giving users the ability to query and retrieve files that are less than 1-year-old as quickly as possible. A delay in retrieving older files is acceptable.

Which solution will meet these requirements MOST cost-effectively?

  • A. Store individual files in Amazon S3 Intelligent-Tiering. Use S3 Lifecycle policies to move the files to S3 Glacier Flexible Retrieval after 1 year. Query and retrieve the files that are in Amazon S3 by using Amazon Athena. Query and retrieve the files that are in S3 Glacier by using S3 Glacier Select.
  • B. Store individual files in Amazon S3 Standard storage. Use S3 Lifecycle policies to move the files to S3 Glacier Deep Archive after 1 year. Store search metadata in Amazon RDS. Query the files from Amazon RDS. Retrieve the files from S3 Glacier Deep Archive.
  • C. Store individual files with tags in Amazon S3 Glacier Instant Retrieval. Query the tags to retrieve the files from S3 Glacier Instant Retrieval.
  • D. Store individual files with tags in Amazon S3 Standard storage. Store search metadata for each archive in Amazon S3 Standard storage. Use S3 Lifecycle policies to move the files to S3 Glacier Instant Retrieval after 1 year. Query and retrieve the files by searching for metadata from Amazon S3.

Answer: D


A company is migrating an old application to AWS The application runs a batch job every hour and is CPU intensive The batch job takes 15 minutes on average with an on-premises server The server has 64 virtual CPU (vCPU) and 512 GiB of memory Which solution will run the batch job within 15 minutes with the LEAST operational overhead?

  • A. Use Amazon Elastic Container Service (Amazon ECS) with AWS Fargate
  • B. Use AWS Lambda with functional scaling
  • C. Use Amazon Lightsail with AWS Auto Scaling
  • D. Use AWS Batch on Amazon EC2

Answer: D


Use AWS Batch on Amazon EC2. AWS Batch is a fully managed batch processing service that can be used to easily run batch jobs on Amazon EC2 instances. It can scale the number of instances to match the workload, allowing the batch job to be completed in the desired time frame with minimal operational overhead.

Using AWS Lambda with Amazon API Gateway - AWS Lambda

AWS Lambda FAQs


A media company hosts large volumes of archive data that are about 250 TB in size on their internal servers. They have decided to move these data to S3 because of its durability and redundancy. The company currently has a 100 Mbps dedicated line connecting their head office to the Internet.

Which of the following is the FASTEST and the MOST cost-effective way to import all these data to Amazon S3?

  • A. Upload it directly to S3
  • B. Establish an AWS Direct Connect connection then transfer the data over to S3.
  • C. Use AWS Snowmobile to transfer the data over to S3.
  • D. Order multiple AWS Snowball devices to upload the files to Amazon S3.

Answer: D


AWS Snowball is a petabyte-scale data transport solution that uses secure appliances to transfer large amounts of data into and out of the AWS cloud. Using Snowball addresses common challenges with large-scale data transfers, including high network costs, long transfer times, and security concerns.

Transferring data with Snowball is simple, fast, secure, and can be as little as one-fifth the cost of high- speed Internet.

Snowball is a strong choice for data transfer if you need to more securely and quickly transfer terabytes to many petabytes of data to AWS. Snowball can also be the right choice if you don't want to make expensive upgrades to your network infrastructure, if you frequently experience large backlogs of data, if you're located in a physically isolated environment, or if you're in an area where high-speed Internet connections are not available or cost-prohibitive.

As a rule of thumb, if it takes more than one week to upload your data to AWS using the spare capacity of your existing Internet connection, then you should consider using Snowball. For example, if you have a 100 Mb connection that you can solely dedicate to transferring your data and need to transfer 100 TB of data, it takes more than 100 days to complete data transfer over that connection. You can make the same transfer by using multiple Snowballs in about a week.

Hence, ordering multiple AWS Snowball devices to upload the files to Amazon S3 is the correct answer.

Uploading it directly to S3 is incorrect since this would take too long to finish due to the slow Internet connection of the company.

Establishing an AWS Direct Connect connection then transferring the data over to S3 is incorrect since provisioning a line for Direct Connect would take too much time and might not give you the fastest data transfer solution. In addition, the scenario didn't warrant an establishment of a dedicated connection from your on-premises data center to AWS. The primary goal is to just do a one-time migration of data to AWS which can be accomplished by using AWS Snowball devices.

Using AWS Snowmobile to transfer the data over to S3 is incorrect because Snowmobile is more suitable if you need to move extremely large amounts of data to AWS or need to transfer up to 100PB of data. This will be transported on a 45-foot long ruggedized shipping container, pulled by a semi-trailer truck. Take note that you only need to migrate 250 TB of data, hence, this is not the most suitable and cost-effective solution.


S3 Transfer Acceleration vs Direct Connect vs VPN vs Snowball vs Snowmobile: Comparison of AWS Services Cheat Sheets:



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