![]() Only Azure Cosmos DB supports creating graph databases. ![]() Azure Cosmos DB You need to create a graph database. You need to store the data in an Azure environment that supports efficient non-key, field-based searching. Entities may have different fields You have data that consists of JSON-based documents. 1 - BĤ - D What are three characteristics of non-relational data? Each correct answer presents a complete solution.Į. Calculate the total value of a numeric column.Ĥ. Query data from within the Azure portal 1 - Cģ - B The act of increasing or decreasing the resources that are available for a service is called: _.ģ. Query data located in a non-Microsoft platform.ģ. Query data while working within a Visual Studio project.Ģ. normalization Azure SQL Database is an example of _ -as-a-service.ĭ. 1 - DĤ - C The process of splitting an entity into more than one table to reduce data redundancy is called: _.ĭ. Improve processing speed for data searches.Ĥ. The technique that provides recommended actions that you should take to achieve a goal or target is called _ analytics.ĭ. Extract, Load, Transform (ELT) is the correct approach because it supports Azure Data Lake as the data store and manages large volumes of data. It is suitable for simple data models that do not require Azure Data Lake support. 1 - AĮxtract, Transform, Load (ETL) is the correct approach when you need to filter sensitive data before loading the data into an analytical model. entities You need to process data that is generated continuously and near real-time responses are required. matrix Objects in which things about data should be captured and stored are called: _.ĭ. It allows for attributes also on columns and can auto-calculate subtotals. A simple _ is generally easy for users to understand, but it can quickly become difficult to read as the number of rows and columns increases. Azure Synapse Analytics A _ displays attribute members on rows and measures on columns. It aims to be the comprehensive analytics platform, from data ingestion to presentation, bringing together one-click data exploration, robust pipelines, enterprise-grade database service, and report authoring. Azure Databricks _ is the new name for Azure SQL Data Warehouse, but it extends it in many ways. ![]() ![]() Azure HDInsight _ is a cloud service from the creators of Apache Spark, combined with a great integration with the Azure platform. ELT _ is a cloud service that lets you implement, manage, and monitor a cluster for Hadoop, Spark, HBase, Kafka, Store, Hive LLAP, and ML Service in an easy and effective way. ETL _ seems similar to ETL at first glance but is better suited to big data scenarios since it leverages the scalability and flexibility of MPP engines like Azure Synapse Analytics, Azure Databricks, or Azure HDInsight. It is a process that involves a lot o data movement, which is something you want to avoid on the cloud if possible due to its resource-intensive nature. It is more commonly found in on-premises environments since it was around before cloud platforms. extract-transform-load (ETL)Įxtract-load-transform (ELT) _ is a traditional approach and has established best practices. The two main kinds of workloads are _ and _. ![]()
0 Comments
Leave a Reply. |
Details
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |