DRAG DROP (Drag and Drop is not supported)Match the types of data to the appropriate Azure data services.To answer, drag the appropriate data type from the column on the left to its service on the right. Each data type may be used once, more than once, or not at all.NOTE: Each correct match is worth one point.Select and Place:
Answer(s): A
Box 1: Image files Azure Blob storage is suitable for image files.Box 2:Key/value pairs Azure CosmosDB table API is a key-value storage hosted in the cloud.Box 3: Relationship between employeesOne-to-many relationships between business domain objects occur frequently: for example, one department has many employees. There are several ways to implement one-to-many relationships in the Azure Table service.
https://docs.microsoft.com/en-us/azure/storage/tables/table-storage-design-modeling
DRAG DROP (Drag and Drop is not supported)Match the Azure Data Lake Storage Gen2 terms to the appropriate levels in the hierarchy.To answer, drag the appropriate term from the column on the left to its level on the right. Each term may be used once, more than once, or not at all.NOTE: Each correct match is worth one point.Select and Place:
Box 1: Azure Storage account Azure file shares are deployed into storage accounts, which are top-level objects that represent a shared pool of storage.Box 2: File share
https://docs.microsoft.com/en-us/azure/storage/files/storage-how-to-create-file-share
What are two characteristics of real-time data processing? Each correct answer presents a complete solution.NOTE: Each correct selection is worth one point.
Answer(s): B,D
Real time processing deals with streams of data that are captured in real-time and processed with minimal latency to generate real-time (or near-real-time) reports or automated responses.
https://docs.microsoft.com/en-us/azure/architecture/data-guide/big-data/real-time-processing
DRAG DROP (Drag and Drop is not supported)Match the Azure Data Factory components to the appropriate descriptions.To answer, drag the appropriate component from the column on the left to its description on the right. Each component may be used once, more than once, or not at all.NOTE: Each correct match is worth one point.Select and Place:
Box 1: Dataset Datasets must be created from paths in Azure datastores or public web URLs, for the data to be accessible by Azure Machine Learning.Box 2: Linked service Linked services are much like connection strings, which define the connection information needed for Data Factory to connect to external resources.Box 3: Pipeline A pipeline is a logical grouping of activities that together perform a task.
https://k21academy.com/microsoft-azure/dp-100/datastores-and-datasets-in-azure/ https://docs.microsoft.com/en-us/azure/data-factory/concepts-linked-services https://docs.microsoft.com/en-us/azure/data-factory/concepts-pipelines-activities
DRAG DROP (Drag and Drop is not supported)Match the types of workloads to the appropriate scenarios.To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may be used once, more than once, or not at all.NOTE: Each correct match is worth one point.Select and Place:
Box 1: Batch Batch processing refers to the processing of blocks of data that have already been stored over a period of time.Box 2: Streaming Stream processing is a big data technology that allows us to process data in real-time as they arrive and detect conditions within a small period of time from the point of receiving the data. It allows us to feed data into analytics tools as soon as they get generated and get instant analytics results.Box 3: Batch
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/batch-processing
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Question 4:Question 4 is about when to use batch processing.
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