1.Question 1Which of the following cloud database solutions provides the capabilities of schema-less data, and lets you build highly responsive and always-on applications to support constantly changing data?1 pointAzure Database for PostgreSQL Azure Database for MySQL Cosmos DBAzure SQL Database2.Question 2True or False?One major benefit of using Azure Cosmos DB is the flexibility it allows developers to use the APIs they are most familiar with.1 pointTrueFalse3.Question 3True or False?Azure Cosmos DB only supports proprietary APIs.1 pointTrueFalse4.Question 4True or False?Migration of on-premises SQL databases to Azure SQL Databases is not supported. The databases must be recreated from scratch.1 pointTrueFalse5.Question 5Azure Database for MySQL is a relational database service in the Microsoft cloud, which is based on the MySQL Community Edition database engine. One feature of the Azure database for MySQL is support for Automatic backups and point-in-time-restore for up to how many days?1 point152535456.Question 6Microsoft Azure supports a broad range of technologies and services to provide big data and analytic solutions. Some of the most common big data and analytic service types in Azure are Azure Synapse Analytics, HDInsight, Databricks, and Data Lake Analytics. Which of the following provides a fully managed, open-source analytics service for enterprises that makes it easier and more cost-effective to process massive amounts of data while running popular open-source frameworks?1 pointAzure Synapse AnalyticsAzure DatabricksAzure Data Lake AnalyticsAzure HDInsight
Question
1.Question 1Which of the following cloud database solutions provides the capabilities of schema-less data, and lets you build highly responsive and always-on applications to support constantly changing data?1 pointAzure Database for PostgreSQL Azure Database for MySQL Cosmos DBAzure SQL Database2.Question 2True or False?One major benefit of using Azure Cosmos DB is the flexibility it allows developers to use the APIs they are most familiar with.1 pointTrueFalse3.Question 3True or False?Azure Cosmos DB only supports proprietary APIs.1 pointTrueFalse4.Question 4True or False?Migration of on-premises SQL databases to Azure SQL Databases is not supported. The databases must be recreated from scratch.1 pointTrueFalse5.Question 5Azure Database for MySQL is a relational database service in the Microsoft cloud, which is based on the MySQL Community Edition database engine. One feature of the Azure database for MySQL is support for Automatic backups and point-in-time-restore for up to how many days?1 point152535456.Question 6Microsoft Azure supports a broad range of technologies and services to provide big data and analytic solutions. Some of the most common big data and analytic service types in Azure are Azure Synapse Analytics, HDInsight, Databricks, and Data Lake Analytics. Which of the following provides a fully managed, open-source analytics service for enterprises that makes it easier and more cost-effective to process massive amounts of data while running popular open-source frameworks?1 pointAzure Synapse AnalyticsAzure DatabricksAzure Data Lake AnalyticsAzure HDInsight
Solution
Sure, here are the answers to your questions:
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Cosmos DB: This cloud database solution provides the capabilities of schema-less data, and lets you build highly responsive and always-on applications to support constantly changing data.
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True: One major benefit of using Azure Cosmos DB is the flexibility it allows developers to use the APIs they are most familiar with.
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False: Azure Cosmos DB supports multiple APIs, not just proprietary ones. It supports SQL, MongoDB, Cassandra, Tables, and Gremlin.
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False: Migration of on-premises SQL databases to Azure SQL Databases is supported. The databases do not need to be recreated from scratch.
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35 days: Azure Database for MySQL supports Automatic backups and point-in-time-restore for up to 35 days.
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Azure Databricks: This service provides a fully managed, open-source analytics service for enterprises that makes it easier and more cost-effective to process massive amounts of data while running popular open-source frameworks.
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