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Wings 1 T15 Cloud Analytics answers

Cloud Computing : Wings 1 T15 Cloud Analytics and AI_AWS_E1_iON_Direct Assessment
Course ID: 79912

Answers are not accurate but so many people got passed by following giving below answer please let know in comments for any corrections.


What AWS service provides a fully managed, highly available, and scalable document database for MongoDB workloads?


DynamoDB


Neptune


DocumentDB


Redshift

ChatGPT

The AWS service that provides a fully managed, highly available, and scalable document database for MongoDB workloads is DocumentDB.


Question No. 3


Which AWS service is a fully managed graph database service?


Neptune


DynamoDB


DocumentDB


Redshift


What AWS service is suitable for performing Natural Language Processing (NLP) tasks such as sentiment analysis and entity recognition?


Marks for correct a


Amazon Textract


Amazon Translate


Amazon Comprehend


Amazon Polly


AWS service offers pre-configured environments for building and training machine learning models?


Amazon Forecast


Amazon SageMaker


AWS Inferentia


Amazon Rekognition




Which AWS service is used for OCR (Optical Character Recognition) to extract text from scanned documents?


Amazon Comprehend


Amazon Textract


Amazon Translate


Amazon Rekognition



Which AWS service is used for time series forecasting?


Amazon Forecast


Amazon Personalize


Amazon Rekognition


AWS Inferentia


What AWS service allows you to create, schedule, and orchestrate data-driven workflows, also integrating with on-premises data sources?


AWS Data Pipeline


CodePipeline


AWS Step Functions


Glue




AWS service is designed to provide personalized recommendations for users based on their historical interactions and preferences?


Amazon Redshift


Amazon S3


Amazon Personalize


Amazon SageMaker



Which AWS service is suitable for building and managing real-time streaming data applications?


Data Pipeline


Glue


Kinesis


OMSK


What is the purpose of AWS Glue in the analytics ecosystem?


Real-time data streaming


Data warehousing


In-memory caching


ETL processing


AWS Step Functions are used for:


Serverless compute functions


Real-time data streaming


Data migration


Orchestration of serverless workflows



Which AWS service is used for language translation?


Amazon Translate


Amazon Polly


Amazon Comprehend


Amazon Lex


In the context of AWS analytics, what does EFS stand for?


Elastic File Storage


Elastic File Sync


Elastic File Server


Elastic File System


AWS service provides pre-configured deep leaming environments for training and deploying custom models?


AWS Deep Learning AMIs


Amazon SageMaker


AWS DeepLens


Amazon Rekognition



AWS OpenSearch is commonly used for:


In-memory caching


Search and analytics on log data


Real-time data streaming


Orchestration of serverless workflows


AWS Redshift is based on which type of database architecture?


 NoSQL


Columnar store


Graph database


Document store


Which AWS service provides personalized recommendation systems?


Amazon Redshift


Amazon Athena


Amazon Personalize


Amazon SageMaker


Which AWS service is a fully managed, scalable data warehouse service that allows you to run complex queries on large datasets?


Redshift


DynamoDB


Athena


ORDS



You are developing an autonomous vehicle that must classify images of street signs with extremely low latency, processing thousands of images per second. What AWS- based architecture would best meet this need?


Develop your classifier with TensorFlow, and compile it for an NVIDIA Jetson edge device using SageMaker Neo, and run it on the edge with loT GreenGrass.


Use Amazon Rekognition in edge mode


Use Amazon Rekognition on AWS DeepLens to identify specific street signs in a self- contained manner,


Develop your classifier using SageMaker Object Detection, and use Elastic Inference to accelerate the model's endpoints called over the air from the vehicle.



What AWS service provides conversational interfaces for building chatbots?


Amazon Polly


Amazon Lex


Amazon Comprehend


AWS Inferentia



AWS Redshift is based on which type of database architecture?


NoSQL


Columnar store


Graph database


Document store



Which AWS service provides personalised recommendation systems?


Amazon Redshift


Amazon Athena


Amazon Personalize


Amazon SageMaker



Which AWS service is a fully managed, scalable data warehouse service that allows you to run complex queries on large datasets?


Redshift


DynamoDB


Athena


ORDS



You are developing an autonomous vehicle that must classify images of street signs with extremely low latency, processing thousands of images per second. What AWS- based architecture would best meet this need?


Develop your classifier with TensorFlow, and compile it for an NVIDIA Jetson edge device using SageMaker Neo, and run it on the edge with loT GreenGrass.


Use Amazon Rekognition in edge mode


T15 Section


Use Amazon Rekognition on AWS DeepLens to identify specific street signs in a self- contained manner.


Develop your classifier using SageMaker Object Detection, and use Elastic Inference to accelerate the model's endpoints called over the air from the vehicle


What AWS service provides conversational interfaces for building chatbots?


Amazon Polly


Amazon Lex


Amazon Comprehend


AWS Inferentia


You are developing a computer vision system that can classify every pixel in an image based on its image type, such as people, buildings, roadways, signs, and vehicles. Which SageMaker algorithm would provide you with the best starting point for this problem?


Object Detection


Semantic Segmentation


Rekognition


Object2Vec



Semantic Segmentation is specifically designed for pixel-level classification tasks where each pixel in an image is classified into a particular class or category. It is suitable for tasks such as scene understanding, where the goal is to assign a semantic label to each pixel in an image, distinguishing between different object categories and background.


Therefore, Semantic Segmentation would be the most appropriate SageMaker algorithm to begin developing your computer vision system for pixel-level classification.


AWS Athena allows you to query data directly from which AWS service?


S3


Redshift


DynamoDB


Glue



In the context of AWS analytics, what does MSK stand for?


Memory Streaming for Kinesis


Managed Streaming for Kafka


Memory Streaming for Kafka


Managed Service for Kinesis



What AWS service is commonly used for serverless compute functions, allowing you to run code without provisioning or managing servers?


OEMR


EC2


Kinesis


Lambda



Which AWS service offers computer vision at the edge for analyzing live video streams?


Amazon Rekognition


AWS DeepLens


Amazon Panorama


Amazon SageMaker

ChatGPT



What AWS service is designed for scalable, secure, and durable storage, suitable for data lakes and analytics workloads?


S3


EBS


Redshift


Glue



Where does SageMaker's automatic scaling get the data it needs to determine how many endpoints you need?


CloudWatch


CloudTrail


EC2


CodeWhisperer



Which AWS service offers containers for deploying deep learning models?


AWS Deep Learning Containers


Amazon SageMaker


Amazon Rekognition


Amazon Comprehend


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