최신 DP-900 무료덤프 - Microsoft Azure Data Fundamentals
Match the Azure services to the appropriate requirements.
To answer, drag the appropriate service from the column on the left to its requirement on the right. Each service may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.
To answer, drag the appropriate service from the column on the left to its requirement on the right. Each service may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.
정답:
Explanation:
Box 1: Azure Data Factory
Box 2: Azure Data Lake Storage
Azure Data Lake Storage (ADLA) now natively supports Parquet files. ADLA adds a public preview of the native extractor and outputter for the popular Parquet file format Box 3: Azure Synapse Analytics Use Azure Synapse Analytics Workspaces.
Reference:
https://docs.microsoft.com/en-us/azure/data-factory/supported-file-formats-and-compression-co decs
Match the types of data stores to the appropriate scenarios.
To answer, drag the appropriate data store type from the column on the left to its scenario on the right. Each data store type may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.
To answer, drag the appropriate data store type from the column on the left to its scenario on the right. Each data store type may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.
정답:
Reference:
https://docs.microsoft.com/en-us/azure/architecture/guide /technology-choices/data-store-overview
Which statement accurately describes data processing?
정답: C
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
NOTE: Each correct selection is worth one point.
정답:
Reference:
https://docs.microsoft.com/en-us/sql/big-data-cluster/connect-to-big-data -cluster?view=sql-server-v er1 5
https: //docs.microsoft.com/en-us/azure/synapse-analytics/sql- data-warehouse/sql-data-warehouse-query-ssms
https://docs.microsoft.com/en-us/azure/mariadb/connect-workbench
For each of the following statements. select Yes if the statement is true. Otherwise, select No.
NOTE Each correct selection is worth one point.
NOTE Each correct selection is worth one point.
정답:
Match the job roles to the appropriate tasks.
To answer, drag the appropriate role from the column on the left to its task on the right. Each role may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.
To answer, drag the appropriate role from the column on the left to its task on the right. Each role may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.
정답:
To complete the sentence, select the appropriate option in the answer area.
정답:
Reference:
https://docs.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-namespace
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
NOTE: Each correct selection is worth one point.
정답:
Explanation:
Box 1: No
You can duplicate a dashboard. The duplicate ends up in the same Power BI workspace.
There is no current functionality that allows you to move reports from one workspace to another.
Box 2: No
Box 3: Yes
Reference:
https://docs.microsoft.com/en-us/power-bi/connect-data/service-datasets-across-workspaces
https://docs.microsoft.com/en-us/power-bi/consumer/end-user-dashboar ds https://powerbi.microsoft.c om/en-us/excel-and-power-bi/
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
NOTE: Each correct selection is worth one point.
정답:
Explanation:
Box 1: Yes
Azure Databricks can consume data from SQL Databases using JDBC and from SQL Databases using the Apache Spark connector.
The Apache Spark connector for Azure SQL Database and SQL Server enables these databases to act as input data sources and output data sinks for Apache Spark jobs.
Box 2: Yes
You can stream data into Azure Databricks using Event Hubs.
Box 3: Yes
You can run Spark jobs with data stored in Azure Cosmos DB using the Cosmos DB Spark connector.
Cosmos can be used for batch and stream processing, and as a serving layer for low latency access.
You can use the connector with Azure Databricks or Azure HDInsight, which provide managed Spark clusters on Azure.
Reference:
https://docs.microsoft.com/en-us/azure/databricks/data/data-s ources/sql-databases-azure
https://docs.microsoft.com/en-us/azure/datab ricks/scenarios/databricks-stream-from-eventhubs
To complete the sentence, select the appropriate option in the answer area.
정답:
Which type of database is Azure Database for PostgreSQL?
정답: C
설명: (DumpTOP 회원만 볼 수 있음)
You need to modify a view in a relational database by adding a new column.
Which statement should you use?
Which statement should you use?
정답: D