5 vs' AWS service for value Flashcards

1
Q

Unified business intelligence at cloud scale.

Amazon QuickSight, Amazon SageMaker, Amazon Bedrock, Amazon Athena

A

Amazon Quicksight

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2
Q

Build, traing and deploy ML models for any use case with fully managed infra, tools and workflows

Amazon QuickSight, Amazon SageMaker, Amazon Bedrock, Amazon Athena

A

Amazon SageMaker

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3
Q

Build and scale generative AI applications with foundation models.

Amazon QuickSight, Amazon SageMaker, Amazon Bedrock, Amazon Athena

A

Amazon Bedrock

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4
Q

Analyze petabyte-scale data where it lives.

Amazon QuickSight, Amazon SageMaker, Amazon Bedrock, Amazon Athena

A

Amazon Athena.

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5
Q

Convenitenly create interactive dashboard, paginated reports, embedded analytics and use natrual languae queries.

Supports integration with several data sources, including amazon S3, amazon Redshift, Amazon RDS, AMazon Athena and 3rd part databases.

Can connect to on prem data sources.

Cleans, transforms, and shapes data before creating the visulisations.

Combines multiple visulisations into interactive dashboards.

Integrates with Amazon SageMaker to incorporate ML models directly into visulisations.

Amazon QuickSight, Amazon SageMaker, Amazon Bedrock, Amazon Athena

A

Amazon QuickSight

Connects with Amazon DBs, DWH and storage Repos.

Quick Sight users can prep, create data sets for analysis, share these with analysis and creates visulisation of the data.

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6
Q
A
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6
Q

Cleaning data and transformation is taken care of using data preprocessing tools.

Access, label and process large amounts of structured data and unstructured data to ensure its ready for ML.

Offers buit in ML algorithims that are optimised for performance and can be conventily applied to predictive analytics tasks.

Provides the option to create ML models.

You can deploy predictive models and HA and scalable endpoint.

Conveneintly integrate your model predictions into other apps or websites to make predictions on new data.

Amazon QuickSight, Amazon SageMaker, Amazon Bedrock, Amazon Athena

A

Amazon SageMaker

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7
Q

ML hub with foudnation models, built in algorithms and prebuilt ML solutions.

Amazon QuickSight, Amazon SageMaker, Amazon Bedrock, Amazon Athena, AMazon Sagemaker JumpStart

A

Amazon Sagemaker

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8
Q

Orgnaisaitons can build and scale generative AI apps with foundation models.

Amazon QuickSight, Amazon SageMaker, Amazon Bedrock, Amazon Athena

A

Amazon Bedrock

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9
Q

Choose from a verity of foundation models.

Privately customize oudnation models.

Automatic data source detection

Integrate using a single API.

Amazon QuickSight, Amazon SageMaker, Amazon Bedrock, Amazon Athena

A

Amazon Bedrock

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10
Q

analytics service built on open source frameworks. Helps solve data value challenges so you can query and alayse data stored in S3.

Amazon QuickSight, Amazon SageMaker, Amazon Bedrock, Amazon Athena

A

Amazon Athena.

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11
Q

provides a streamlined, flexible way to analyze petabytes of data without the need to set-up and amange infrastructure.

Save query history and results, making it convenient to review past queries, analayze past performance and troibleshoot discrepancies.

integrates out of the box with aws glue

controls access to data by using iam policies.

Amazon QuickSight, Amazon SageMaker, Amazon Bedrock, Amazon Athena

A

Amazon Athena

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12
Q

https://explore.skillbuilder.aws/learn/course/18440/play/136221/fundamentals-of-analytics-on-aws-part-2;lp=2195

A
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