Microsoft Microsoft Certifications DP-900 Questions & Answers

• Question 111:

  DRAG DROP

  Match the types of activities to the appropriate Azure Data Factory activities.

  To answer, drag the appropriate activity type from the column on the left to its Data Factory activity on the right. Each activity type may be used once, more than once, or not at all.

  NOTE: Each correct match is worth one point.

  Select and Place:

  

  Correct Answer:

  

  Reference: https://docs.microsoft.com/en-us/azure/data-factory/concepts-pipelines-activities#data-transformation-activities

• Question 112:

  DRAG DROP

  Match the security components to the appropriate scenarios.

  To answer, drag the appropriate component from the column on the left to its scenario 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:

  

  Correct Answer:

  

  Reference: https://docs.microsoft.com/en-us/sql/database-engine/configure-windows/configure-a-windows-firewall-for-database-engine-access?view=sql-server-ver15 https://docs.microsoft.com/en-us/azure/azure-sql/database/authentication-aad-overview https://docs.microsoft.com/en-us/azure/azure-sql/database/always-encrypted-certificate-store-configure

• Question 113:

  DRAG DROP

  Match the types of analytics that can be used to answer the business questions.

  To answer, drag the appropriate analytics type from the column on the left to its question on the right. Each analytics type may be used once, more than once, or not at all.

  NOTE: Each correct match is worth one point.

  Select and Place:

  

  Correct Answer:

  

  Box 1: Diagnostic

  Diagnostic Analytics: At this stage you can begin to answer some of those why questions. Historical data can begin to be measured against other data to answer the question of why something happened in the past. This is the process of

  gathering and interpreting different data sets to identify anomalies, detect patters, and determine relationships.

  Box 2: Prescriptive

  Prescriptive analytics is a combination of data, mathematical models, and various business rules to infer actions to influence future desired outcomes.

  Incorrect Answer:

  Predictive analytics, broadly speaking, is a category of business intelligence that uses descriptive and predictive variables from the past to analyze and identify the likelihood of an unknown future outcome

  Box 3: Descriptive

  Generally speaking, data analytics comes in four types:

  Descriptive, to answer the question: What's happening?

  Diagnostic, to answer the question: Why's happening?

  Predictive, to answer the question: What will happen?

  Prescriptive, to answer the question: What actions should we take?

  

  Reference: https://demand-planning.com/2020/01/20/the-differences-between-descriptive-diagnostic-predictive-cognitive-analytics/ https://azure.microsoft.com/en-us/blog/answering-whats-happening-whys-happening-and-what-will-happen-with-iot-analytics/

• Question 114:

  You need to query the table to return the average sales amount day. The output must produce the following results.

  

  How should you complete the query? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content. NOTE: Each correct selection is worth one point.

  Select and Place:

  

  Correct Answer:

  

  Box 1: SELECT Box 2: GROUP BY

  Example:

  When used with a GROUP BY clause, each aggregate function produces a single value covering each group, instead of a single value covering the whole table. The following example produces summary values for each sales territory in the AdventureWorks2012 database. The summary lists the average bonus received by the sales people in each territory, and the sum of year-to-date sales for each territory.

  SELECT TerritoryID, AVG(Bonus)as 'Average bonus', SUM(SalesYTD) as 'YTD sales' FROM Sales.SalesPerson GROUP BY TerritoryID;

• Question 115:

  DRAG DROP

  Match the Azure services to the appropriate locations in the architecture.

  To answer, drag the appropriate service from the column on the left to its location on the right. Each service may be used once, more than once, or not at all.

  NOTE: Each correct match is worth one point.

  Select and Place:

  

  Correct Answer:

  

  Box 1: Azure Data factory

  Relevant Azure service for the three ETL phases are Azure Data Factory and SQL Server Integration Services (SSIS).

  Box 2: Azure Synapse Analytics

  You can copy and transform data in Azure Synapse Analytics by using Azure Data Factory

  Note: Azure Synapse Analytics connector is supported for the following activities:

  Copy activity with supported source/sink matrix table

  Mapping data flow

  Lookup activity

  GetMetadata activity

  Reference:

  https://docs.microsoft.com/en-us/azure/architecture/data-guide/relational-data/etl

  https://docs.microsoft.com/en-us/azure/data-factory/connector-azure-sql-data-warehouse

  

• Question 116:

  DRAG DROP

  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:

  

  Correct Answer:

  

  Box 1: Batch

  The batch processing model requires a set of data that is collected over time while the stream processing model requires data to be fed into an analytics tool, often in micro-batches, and in real-time.

  The batch Processing model handles a large batch of data while the Stream processing model handles individual records or micro-batches of few records.

  In Batch Processing, it processes over all or most of the data but in Stream Processing, it processes over data on a rolling window or most recent record.

  Box 2: Batch

  Box 3: Streaming

  Reference:

  https://k21academy.com/microsoft-azure/dp-200/batch-processing-vs-stream-processing

• Question 117:

  Match the Azure Data Lake Storage 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:

  

  Correct Answer:

  

  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

  

• Question 118:

  DRAG DROP Your company plans to load data from a customer relationship management (CRM) system to a data warehouse by using an extract, load, and transform (ELT) process. Where does data processing occur for each stage of the ELT process? To answer, drag the appropriate locations to the correct stages. Each location may be used once, more than once, or not at all. You may need to drag the split bar

  between panes or scroll to view content. NOTE: Each correct selection is worth one point. Select and Place:

  

  Correct Answer:

  

  Box 1: The CRM system

  Data is extracted from the CRM system.

  Box 2: The data warehouse

  Data is loaded to the data warehouse.

  Box 3: An in-memory data integration tool

  The data transformation that takes place usually involves various operations, such as filtering, sorting, aggregating, joining data, cleaning data, deduplicating, and validating data.

  

  Reference: https://docs.microsoft.com/en-us/azure/architecture/data-guide/relational-data/etl

• Question 119:

  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:

  

  Correct Answer:

  

  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.

• Question 120:

  Match the types of data to the appropriate Azure data services.

  To answer, drag the appropriate data types 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:

  

  Correct Answer:

  

  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 employees

  One-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.