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NEW QUESTION: 1

A. Yes
B. Only is running in GovCloud
C. No
D. Only if running in VPC
Answer: A

NEW QUESTION: 2
You need to design the storage for the telemetry capture system.
What storage solution should you use in the design?
A. Azure Databricks
B. Azure Cosmos DB
C. Azure SQL Data Warehouse
Answer: B
Explanation:
Azure Cosmos DB is a globally distributed database service. You can associate any number of Azure regions with your Azure Cosmos account and your data is automatically and transparently replicated.
Scenario:
Telemetry Capture
The telemetry capture system records each time a vehicle passes in front of a sensor. The sensors run on a custom embedded operating system and record the following telemetry data:
Time
Location in latitude and longitude
Speed in kilometers per hour (kmph)
Length of vehicle in meters
You must write all telemetry data to the closest Azure region. The sensors used for the telemetry capture system have a small amount of memory available and so must write data as quickly as possible to avoid losing telemetry data.
Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/regional-presence
Topic 6, Litware Case
Overview
Litware, Inc. owns and operates 300 convenience stores across the US. The company sells a variety of packaged foods and drinks, as well as a variety of prepared foods, such as sandwiches and pizzas.
Litware has a loyalty club whereby members can get daily discounts on specific items by providing their membership number at checkout.
Litware employs business analysts who prefer to analyze data by using Microsoft Power BI, and data scientists who prefer analyzing data in Azure Databricks notebooks.
Requirements
Business Goals
Litware wants to create a new analytics environment in Azure to meet the following requirements:
See inventory levels across the stores. Data must be updated as close to real time as possible.
Execute ad hoc analytical queries on historical data to identify whether the loyalty club discounts increase sales of the discounted products.
Every four hours, notify store employees about how many prepared food items to produce based on historical demand from the sales data.
Requirements. Technical Requirements
Litware identifies the following technical requirements:
Minimize the number of different Azure services needed to achieve the business goals Use platform as a service (PaaS) offerings whenever possible and avoid having to provision virtual machines that must be managed by Litware.
Ensure that the analytical data store is accessible only to the company's on-premises network and Azure services.
Use Azure Active Directory (Azure AD) authentication whenever possible.
Use the principle of least privilege when designing security.
Stage inventory data in Azure Data Lake Storage Gen2 before loading the data into the analytical data store. Litware wants to remove transient data from Data Lake Storage once the data is no longer in use. Files that have a modified date that is older than 14 days must be removed.
Limit the business analysts' access to customer contact information, such as phone numbers, because this type of data is not analytically relevant.
Ensure that you can quickly restore a copy of the analytical data store within one hour in the event of corruption or accidental deletion.
Requirements. Planned Environment
Litware plans to implement the following environment:
The application development team will create an Azure event hub to receive real-time sales data, including store number, date, time, product ID, customer loyalty number, price, and discount amount, from the point of sale (POS) system and output the data to data storage in Azure.
Customer data, including name, contact information, and loyalty number, comes from Salesforce and can be imported into Azure once every eight hours. Row modified dates are not trusted in the source table.
Product data, including product ID, name, and category, comes from Salesforce and can be imported into Azure once every eight hours. Row modified dates are not trusted in the source table.
Daily inventory data comes from a Microsoft SQL server located on a private network.
Litware currently has 5 TB of historical sales data and 100 GB of customer data. The company expects approximately 100 GB of new data per month for the next year.
Litware will build a custom application named FoodPrep to provide store employees with the calculation results of how many prepared food items to produce every four hours.
Litware does not plan to implement Azure ExpressRoute or a VPN between the on-premises network and Azure.

NEW QUESTION: 3
You are using the Knowledge Discovery feature of the Data Quality Services (DQS) client application to modify an existing knowledge base.
In the mapping configuration, two of the three columns are mapped to existing domains in the knowledge base. The third column, named Group, does not yet have a domain.
You need to complete the mapping of the Group column.
What should you do?
A. Add a column mapping for the Group column.
B. Add a domain for the Group column.
C. Create a composite domain that includes the Group column.
D. Map a composite domain to the source column.
Answer: B
Explanation:
Explanation/Reference:
Explanation:

NEW QUESTION: 4
Ihr Netzwerk enthält eine Active Directory-Gesamtstruktur mit dem Namen contoso.com. Die Funktionsebene der Gesamtstruktur und der Domäne ist Windows Server 2012 R2.
Sie planen, Local Administrator Password Solution (LAPS) für alle Mitgliedsserver zu verwenden.
Sie müssen den Wald für LAPS vorbereiten.
Welche beiden Aktionen sollten Sie ausführen? Jede richtige Antwort ist Teil der Lösung.
HINWEIS: Jede richtige Auswahl ist einen Punkt wert.
A. Führen Sie das Cmdlet Update-AdmPwdADSchema aus.
B. Installieren Sie die clientseitige LAPS-Erweiterung auf allen Domänencontrollern.
C. Stellen Sie eine Unternehmenszertifizierungsstelle bereit.
D. Führen Sie das Cmdlet Set-AdmPwdComputerSelfPermission aus.
E. Führen Sie das Cmdlet Set-AdmPwdAuditing aus.
Answer: A,D
Explanation:
Erläuterung
Verweise:
https://blog.thesysadmins.co.uk/deploying-microsoft-laps-part-1.html