Amazon SAA-C03 Associate Level Exam - New SAA-C03 Test Test

Free4Dump's Amazon SAA-C03 exam training materials are bring the greatest success rate to all the candicates who want to pass the exam. Amazon SAA-C03 exam is a challenging Certification Exam. Besides the books, internet is considered to be a treasure house of knowledge. In Free4Dump you can find your treasure house of knowledge. This is a site of great help to you. You will encounter the complex questions in the exam, but Free4Dump can help you to pass the exam easily. Free4Dump's Amazon SAA-C03 Exam Training material includes all the knowledge that must be mastered for the purpose of passing the Amazon SAA-C03 exam.

Amazon SAA-C03 certification exam consists of 65 multiple-choice and multiple-response questions that must be completed in 130 minutes. SAA-C03 exam is available in multiple languages, and candidates can take it at any Pearson VUE testing center globally. SAA-C03 exam is computer-based, and candidates are required to have a good understanding of AWS services, architecture, and best practices to pass the exam.

To prepare for the Amazon SAA-C03 Certification Exam, candidates can take advantage of various resources, including AWS training courses, whitepapers, and practice exams. AWS offers a range of training courses, including classroom-based training, virtual instructor-led training, and self-paced online training, designed to help candidates prepare for the exam. Candidates can also take practice exams to test their knowledge and identify areas where they need to improve.

>> Amazon SAA-C03 Associate Level Exam <<

Web-Based Practice Test Amazon SAA-C03 Dumps PDF

We sincerely suggest you to try these demos of our SAA-C03 study guide and make a well-content choice. Different demos have different functions and each version has its advantages during the process of learning. Our SAA-C03 Preparation exam is suitable for various consumer groups in the world we assure that after having a knowledge of those demos, you can purchase the most suitable SAA-C03 exam materials.

Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q128-Q133):

NEW QUESTION # 128
[Design High-Performing Architectures]
A company hosts an application on AWS Lambda functions mat are invoked by an Amazon API Gateway API The Lambda functions save customer data to an Amazon Aurora MySQL databaseWhenever the company upgrades the database, the Lambda functions fail to establish database connections until the upgrade is complete The result is that customer data Is not recorded for some of the event A solutions architect needs to design a solution that stores customer data that is created during database upgrades Which solution will meet these requirements?

A. Provision an Amazon RDS proxy to sit between the Lambda functions and the database Configure the Lambda functions to connect to the RDS proxy
B. Persist the customer data to Lambda local storage. Configure new Lambda functions to scan the local storage to save the customer data to the database.
C. Increase the run time of me Lambda functions to the maximum Create a retry mechanism in the code that stores the customer data in the database
D. Store the customer data m an Amazon Simple Queue Service (Amazon SOS) FIFO queue Create a new Lambda function that polls the queue and stores the customer data in the database

Answer: D

Explanation:
https://www.learnaws.org/2020/12/13/aws-rds-proxy-deep-dive/
RDS proxy can improve application availability in such a situation by waiting for the new database instance to be functional and maintaining any requests received from the application during this time. The end result is that the application is more resilient to issues with the underlying database.
This will enable solution to hold data till the time DB comes back to normal. RDS proxy is to optimally utilize the connection between Lambda and DB. Lambda can open multipleconnection concurrently which can be taxing on DB compute resources, hence RDS proxy was introduced to manage and leverage these connections efficiently.

NEW QUESTION # 129
A company hosts a web application in a VPC on AWS. A public Application Load Balancer (ALB) forwards connections from the internet to an Auto Scaling group of Amazon EC2 instances. The Auto Scaling group runs in private subnets across four Availability Zones.
The company stores data in an Amazon S3 bucket in the same Region. The EC2 instances use NAT gateways in each Availability Zone for outbound internet connectivity.
The company wants to optimize costs for its AWS architecture.
Which solution will meet this requirement?

A. Deploy an S3 interface endpoint to the VPC. Configure the EC2 instances to access the S3 bucket through the S3 interface endpoint.
B. Reconfigure the Auto Scaling group and the ALB to use two Availability Zones instead of four. Do not change the desired count or scaling metrics for the Auto Scaling group to maintain application availability.
C. Deploy an S3 gateway endpoint to the VPC. Configure the EC2 instances to access the S3 bucket through the S3 gateway endpoint.
D. Create a new, smaller VPC that still has sufficient IP address availability to run the application.
Redeploy the application stack in the new VPC. Delete the existing VPC and its resources.

Answer: C

Explanation:
Using S3 gateway endpoints allows private and cost-free access to S3 without routing traffic through a NAT gateway. NAT gateway traffic incurs charges, especially when used across multiple Availability Zones.
By using an S3 gateway endpoint, EC2 instances in private subnets can access S3 directly without needing internet access, reducing both data transfer and NAT gateway costs.
Interface endpoints are more expensive and typically used for services like API Gateway or Systems Manager.

NEW QUESTION # 130
A company hosts an application used to upload files to an Amazon S3 bucket Once uploaded, the files are processed to extract metadata which takes less than 5 seconds The volume and frequency of the uploads varies from a few files each hour to hundreds of concurrent uploads The company has asked a solutions architect to design a cost-effective architecture that will meet these requirements.
What should the solutions architect recommend?

A. Configure Amazon Kinesis Data Streams to process and send data to Amazon S3. Invoke an AWS Lambda function to process the files.
B. Configure an object-created event notification within the S3 bucket to invoke an AWS Lambda function to process the files.
C. Configure AWS CloudTrail trails to tog S3 API calls Use AWS AppSync to process the files.
D. Configure an Amazon Simple Notification Service (Amazon SNS) topic to process the files uploaded to Amazon S3 Invoke an AWS Lambda function to process the files.

Answer: B

Explanation:
This option is the most cost-effective and scalable way to process the files uploaded to S3. AWS CloudTrail is used to log API calls, not to trigger actions based on them. AWS AppSync is a service for building GraphQL APIs, not for processing files. Amazon Kinesis Data Streams is used to ingest and process streaming data, not to send data to S3. Amazon SNS is a pub/sub service that can be used to notify subscribers of events, not to process files. References:
Using AWS Lambda with Amazon S3
AWS CloudTrail FAQs
What Is AWS AppSync?
[What Is Amazon Kinesis Data Streams?]
[What Is Amazon Simple Notification Service?]

NEW QUESTION # 131
A company wishes to query data that resides in multiple AWS accounts from a central data lake. Each account has its own Amazon S3 bucket that stores data unique to its business function. Users from different accounts must be granted access to the data lake based on their roles.
Which solution will minimize overhead and costs while meeting the required access patterns?

A. Use AWS Central Tower to centrally manage each account's S3 buckets.
B. Create a scheduled Lambda function for transferring data from multiple accounts to the S3 buckets of a central account
C. Use AWS Lake Formation to consolidate data from multiple accounts into a single account.
D. Use AWS Kinesis Firehose to consolidate data from multiple accounts into a single account.

Answer: C

Explanation:
AWS Lake Formation is a service that makes it easy to set up a secure data lake in days. A data lake is a centralized, curated, and secured repository that stores all your data, both in its original form and prepared for analysis. A data lake enables you to break down data silos and combine different types of analytics to gain insights and guide better business decisions.
Amazon S3 forms the storage layer for Lake Formation. If you already use S3, you typically begin by registering existing S3 buckets that contain your data. Lake Formation creates new buckets for the data lake and import data into them. AWS always stores this data in your account, and only you have direct access to it.

AWS Lake Formation is integrated with AWS Glue which you can use to create a data catalog that describes available datasets and their appropriate business applications. Lake Formation lets you define policies and control data access with simple "grant and revoke permissions to data" sets at granular levels. You can assign permissions to IAM users, roles, groups, and Active Directory users using federation. You specify permissions on catalog objects (like tables and columns) rather than on buckets and objects.
Thus, the correct answer is: Use AWS Lake Formation to consolidate data from multiple accounts into a single account.
The option that says: Use AWS Kinesis Firehose to consolidate data from multiple accounts into a single account is incorrect. Setting up a Kinesis Firehose in each and every account to move data into a single location is costly and impractical. A better approach is to set up cross-account sharing which is free with AWS Lake Formation.
The option that says: Create a scheduled Lambda function for transferring data from multiple accounts to the S3 buckets of a central account is incorrect. This could be done by utilizing the AWS SDK, but implementation would be difficult and quite challenging to manage. Remember that the scenario explicitly mentioned that the solution must minimize management overhead.
The option that says: Use AWS Central Tower to centrally manage each account's S3 buckets is incorrect because the AWS Central Tower service is primarily used to manage and govern multiple AWS accounts and not just S3 buckets. Using the AWS Lake Formation service is a more suitable choice.
References:
https://aws.amazon.com/blogs/big-data/building-securing-and-managing-data-lakes-with-aws-lake-forma tion/
https://docs.aws.amazon.com/lake-formation/latest/dg/how-it-works.html

NEW QUESTION # 132
A marketing company receives a large amount of new clickstream data in Amazon S3 from a marketing campaign The company needs to analyze the clickstream data in Amazon S3 quickly. Then the company needs to determine whether to process the data further in the data pipeline.
Which solution will meet these requirements with the LEAST operational overhead?

A. Configure an AWS Glue crawler to crawl the data. Configure Amazon Athena to query the data.
B. Configure an AWS Glue crawler to crawl the data. Configure Amazon Kinesis Data Analytics to use SQL to query the data
C. Create external tables in a Hive metastore. Configure Spark jobs in Amazon EMR to query the data.
D. Create external tables in a Spark catalog Configure jobs in AWS Glue to query the data

Answer: A

Explanation:
AWS Glue Crawler: AWS Glue is a fully managed ETL (Extract, Transform, Load) service that makes it easy to prepare and load data for analytics. A Glue crawler can automatically discover new data and schema in Amazon S3, making it easy to keep the data catalog up-to-date.
Crawling the Data:
Set up an AWS Glue crawler to scan the S3 bucket containing the clickstream data.
The crawler will automatically detect the schema and create/update the tables in the AWS Glue Data Catalog.
Amazon Athena:
Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL.
Once the data catalog is updated by the Glue crawler, use Athena to query the clickstream data directly in S3.
Operational Efficiency: This solution leverages fully managed services, reducing operational overhead. Glue crawlers automate data cataloging, and Athena provides a serverless, pay-per-query model for quick data analysis without the need to set up or manage infrastructure.
Reference:
AWS Glue
Amazon Athena

NEW QUESTION # 133
......

The pass rate is 98.95% for the SAA-C03 training materials, and most candidates can pass the exam just one time. We ensure you that you will refund your money if you fail to pass the exam. In addition, we offer you free update for one year, and the update version for the SAA-C03 exam dumps will be sent to your email automatically, so that you can know the latest information about the SAA-C03 Exam Dumps. We provide you with the online chat service, and in the process of learning, if you have any questions about the SAA-C03 exam dumps, you can consult us.

New SAA-C03 Test Test: https://www.free4dump.com/SAA-C03-braindumps-torrent.html

Fred Long Fred Long

Biography

Amazon SAA-C03 Associate Level Exam - New SAA-C03 Test Test

Web-Based Practice Test Amazon SAA-C03 Dumps PDF

Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q128-Q133):

Quick Links

Resourses

Get In Touch