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The AWS-Solutions-Associate (AWS Certified Solutions Architect - Associate (SAA-C02)) Certification Exam is an industry-recognized certification that validates an individual's expertise in designing and deploying scalable, highly available, and fault-tolerant systems on Amazon Web Services (AWS). AWS-Solutions-Associate exam is intended for individuals who have experience in designing and deploying applications on AWS and are looking to validate their skills and knowledge in this field. AWS Certified Solutions Architect - Associate (SAA-C03) certification exam covers a wide range of AWS services, including compute, storage, networking, security, and database services.

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Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Sample Questions (Q203-Q208):

NEW QUESTION # 203
Cognito Sync is an AWS service that you can use to synchronize user profile data across mobile devices without requiring your own backend. When the device is online, you can synchronize data.
If you also set up push sync, what does it allow you to do?

A. Notify other devices immediately that an update is available
B. Notify other devices that a user profile is available across multiple devices
C. Synchronize user profile data with less latency
D. Synchronize online data faster

Answer: A

Explanation:
Cognito Sync is an AWS service that you can use to synchronize user profile data across mobile devices without requiring your own backend. When the device is online, you can synchronize data, and if you have also set up push sync, notify other devices immediately that an update is available.
Reference:
http://docs.aws.amazon.com/cognito/devguide/sync/

NEW QUESTION # 204
A company is building a data analysis platform on AWS by using AWS Lake Formation. The platform will ingest data from different sources such as Amazon S3 and Amazon RDS. The company needs a secure solution to prevent access to portions of the data that contain sensitive information.
Which solution will meet these requirements with the LEAST operational overhead?

A. Create an AWS Lambda function that periodically queries and removes sensitive information from Lake Formation tables.
B. Create data filters to implement row-level security and cell-level security.
C. Create an AWS Lambda function that removes sensitive information before Lake Formation ingests the data.
D. Create an IAM role that includes permissions to access Lake Formation tables.

Answer: B

Explanation:
AWS Lake Formation natively supports fine-grained access control, including:
* Row-level security
* Cell/column-level security
These are implemented through data filters and Lake Formation permissions on governed tables and views.
This allows you to centrally define which users or groups can access which rows and which columns, including sensitive data fields, with minimal custom code or maintenance.
Why others are incorrect:
* A: IAM alone does not provide row-level or cell-level data security inside Lake Formation tables.
* C and D: Using Lambda to scrub or periodically remove sensitive data is complex, error-prone, and high overhead compared to built-in Lake Formation data filters.

NEW QUESTION # 205
A company needs to ingest and analyze telemetry data from vehicles at scale for machine learning and reporting.
Which solution will meet these requirements?

A. Use Amazon Timestream for LiveAnalytics to store data points. Grant Amazon SageMaker permission to access the data. Use Amazon QuickSight to visualize the data.
B. Use Amazon Neptune to store data points. Use Amazon Kinesis Data Streams to ingest data into a Lambda function for processing. Use Amazon QuickSight to visualize the data.
C. Use Amazon Timestream for LiveAnalytics to store data points. Grant Amazon SageMaker permission to access the data. Use Amazon Athena to visualize the data.
D. Use Amazon DynamoDB to store data points. Use DynamoDB Connector to ingest data into Amazon EMR for processing. Use Amazon QuickSight to visualize the data.

Answer: A

Explanation:
Amazon Timestreamis purpose-built for storing and analyzing time-series data like telemetry.
Option Aleverages Timestream, SageMaker for ML, and QuickSight for visualization, meeting all requirements with minimal complexity.
Option Binvolves more complex DynamoDB-EMR integration.
Option Cuses Neptune, which is designed for graph databases, not telemetry data.
Option Dincorrectly uses Athena for visualization instead of QuickSight.

NEW QUESTION # 206
A company is planning to migrate its virtual server-based workloads to AWS. The company has internet-facing load balancers backed by application servers. The application servers rely on patches from an internet-hosted repository.
Which services should a solutions architect recommend be hosted on the public subnet? (Choose two.)

A. Amazon RDS DB instances
B. Amazon EC2 application servers
C. Application Load Balancers
D. Amazon Elastic File System (Amazon EFS) volumes
E. NAT gateway

Answer: C,E

NEW QUESTION # 207
Which set of Amazon 53 features helps to prevent and recover from accidental data loss?

A. Website hosting and Amazon 53 policies
B. Object lifecycle and service access logging
C. Access controls and server-side encryption
D. Object versioning and Multi-factor authentication

Answer: D

Explanation:
Reference: http://media.amazonwebservices.com/AWS Security_Best_Practices.pdf

NEW QUESTION # 208
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