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Amazon Web Services Updated SAA-C03 Exam Questions and Answers by mara

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Amazon Web Services SAA-C03 Exam Overview :

Exam Name: AWS Certified Solutions Architect - Associate (SAA-C03)
Exam Code: SAA-C03 Dumps
Vendor: Amazon Web Services Certification: AWS Certified Associate
Questions: 1186 Q&A's Shared By: mara
Question 104

Which solution will meet these requirements?

Options:

A.

Deploy code to Amazon EC2 instances instead of using Lambda functions.

B.

Configure SSL encryption on the Lambda functions to use AWS CloudHSM to store and encrypt the environment variables.

C.

Create a certificate in AWS Certificate Manager (ACM). Configure the Lambda functions to use the certificate to encrypt the environment variables.

D.

Create an AWS Key Management Service (AWS KMS) key. Enable encryption helpers on the Lambda functions to use the KMS key to store and encrypt the environment variables.

Discussion
Question 105

Question:

A finance company collects streaming data for a real-time search and visualization system. They want to migrate to AWS using a native solution for ingest, search, and visualization.

Options:

Options:

A.

Use EC2 to ingest/process data to S3 → Athena + Managed Grafana

B.

Use EMR to ingest/process to Redshift → Redshift Spectrum + QuickSight

C.

Use EKS to ingest/process to DynamoDB → CloudWatch Dashboards

D.

Use Kinesis Data Streams → Amazon OpenSearch Service → Amazon QuickSight

Discussion
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Question 106

Which solution meets these requirements?

Options:

A.

Use Amazon Managed Streaming for Apache Kafka (Amazon MSK) to ingest the data to save it to Amazon S3. Use Amazon Athena to perform SQL queries over the ingested data.

B.

Use Amazon Managed Streaming for Apache Kafka (Amazon MSK) to ingest the data to save it to Amazon Redshift. Enable Amazon Redshift workload management (WLM) to prioritize workloads.

C.

Use Amazon Data Firehose to ingest the data to save it to Amazon Redshift. Enable Amazon Redshift workload management (WLM) to prioritize workloads.

D.

Use Amazon Data Firehose to ingest the data to save it to Amazon S3. Load frequently queried data to Amazon Redshift using the COPY command. Use Amazon Redshift Spectrum for less frequently queried data.

Discussion
Question 107

A company is planning to run an AI/ML workload on AWS. The company needs to train a model on a dataset that is in Amazon S3 Standard. A model training application requires multiple compute nodes and single-digit millisecond access to the data.

Which solution will meet these requirements in the MOST cost-effective way?

Options:

A.

Move the data to S3 Intelligent-Tiering. Point the model training application to S3 Intelligent-Tiering as the data source.

B.

Add partitions to the S3 bucket by adding random prefixes. Reconfigure the model training application to point to the new prefixes as the data source.

C.

Move the data to S3 Express One Zone. Point the model training application to S3 Express One Zone as the data source.

D.

Move the data to a General Purpose SSD (gp3) Amazon Elastic Block Store (Amazon EBS)volume attached to an Amazon EC2 instance. Point the model training application to the gp3 volume as the data source.

Discussion
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