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NEW QUESTION: 1
A company uses Dynamics 365 Supply Chain Management.
You need to implement inventory cycle counting.
Which counting methods should you use? To answer, drag the appropriate counting methods to the correct requirements. Each counting method 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.
Answer:
Explanation:
Reference:
https://docs.microsoft.com/en-us/dynamics365/supply-chain/warehousing/cycle-counting
NEW QUESTION: 2
Select and Place:
Answer:
Explanation:
Explanation:
Box 1: Snooper utility Box 2: Microsoft Office Communications Server Remote Connectivity Analyzer Box 3: Office 365 Lync Online Transport Reliability IP Prope (TRIPP) tool Box 4: Microsoft Online Service Diagnostics and Logging (MOSDAL) Support Toolkit
Lync Online - Transport Reliability IP Probe (TRIPP Tool) This reliability tool tests your Internet connection to a Microsoft Lync Online Service data center and measures the response times, bandwidth, allowed ports, route taken, and overall connection quality with respect to Real Time Media. The results can help you evaluate your network configuration for potential use with the Microsoft Lync Online Service. This tool does not engage any of the offerings from Microsoft Lync Online Service.
Microsoft Office Communications Server Remote Connectivity Analyzer The Office Communications Server Remote Connectivity Analyzer is a great tool for performing testing, troubleshooting, and diagnostics on Communications Server 2007 and Communications Server 2007 R2 deployments, and should server as your initial stop when attempting to troubleshoot a Communications Server Edge Server connectivity issue. The Office Communications Server Remote Connectivity Analyzer is a web site that Communications Server administrators can use to validate and diagnose end-to-end Communications Server scenarios. The site simulates multiple Office Communications Server client access scenarios from outside the customer's infrastructure and reports whether the test was successful. If the test fails, the tool informs you exactly where in the process the test failed, as well as provides troubleshooting tips about resolving the issue.
The Microsoft Online Services Diagnostics and Logging (MOSDAL) Support Toolkit performs network diagnostics and collects system configuration, network configuration, and logging information for applications that are used to connect to Microsoft Business Productivity Online Standard Suite (BPOSS) or to Microsoft Office 365. The logs and diagnostic information that the tool generates provide data that helps technical support professionals troubleshoot configuration, network, installation, and other service-related issues. The MOSDAL Support Toolkit collects log files, registry keys, and configuration settings that would otherwise require time-consuming and labor-intensive collection by using separate tools.
NEW QUESTION: 3
You need to restrict access to data in the tables in the data warehouse.
What should you do?
A. Configure column-level permissions.
B. Create views and grant permissions to the views.
C. Configure database roles.
D. Configure application roles.
Answer: B
Explanation:
Topic 4, WingTip Toys
General Background
You are a data architect for WingTip Toys. The company uses SQL Server 2012 Enterprise edition. SQL Server Analysis Services (SSAS) and SQL Server Reporting Services (SSRS) are installed on separate servers.
Data Warehouse
The company's data warehouse initially contained less than 100 MB and 100 million rows of data from only one data source. It now contains more than 10 TB and 10 billion rows of data, in 25 tables, from 12 data sources.
The largest table in the data warehouse, the factOrders table, contains 5 TB of data. The factOrders table contains three date keys: OrderDateKey InvoiceDateKey, and ShipDateKey. The data warehouse server has 1 TB of RAM. Memory usage is currently at 20 percent.
One billion rows of data are added to the data warehouse each month. New data is copied each night from the data sources into SQL Server staging tables, and existing records are not updated. The largest data set is order information, which is loaded in parallel into multiple staging tables, one for each data source. All the staging tables have the same structure and belong to the same filegroup as the factOrders table.
The dimCustomers table stores customer information that may change over time.
Data Models
You are developing three SSAS databases, as described in the following table.
Reporting
Business users frequently generate reports in Microsoft Excel by using PowerPivot. The PowerPivot Management Dashboard does not currently display any usage data.
Several SSRS reports exist that use the data warehouse as a source. The data warehouse queries are aggregate queries that use the factOrders table and one or more dimension tables. All SSRS data sources use Integrated Windows authentication.
SSRS displays a security access error message when managers run SSRS reports based on the Operations database.
Reporting performance has become unacceptably slow.
Business Requirements
Improve the query speed of the SSRS reports.
Allow business users to create reports by using PowerPivot and Power View.
Ensure that all users other than business users can view metadata for the Customers
dimension. Ensure that business users cannot view metadata for the Customers
dimension.
Technical Requirements
Modify the tables in the data warehouse to minimize aggregate query processing time. Minimize disk storage in the data warehouse.
Ensure that all multidimensional models process data as quickly as possible.
Create a fact table named factCustomerContact in the data warehouse to store the contact
date, customer key, and communication type for each instance of customer contact.
Store the history of customer information changes in the dimCustomers table.
Move data from the staging tables into the factOrders table as quickly as possible. When
creating dimensions for the date keys in the factOrders table, minimize storage space
requirements and optimize the cube processing time.
Ensure that queries against the Sales database return the most current data in the data
warehouse.
Ensure that the SSAS model of the Finance database does not page to disk or return a
memory error as the size of the database grows.
Create an SSAS monitoring solution that tracks the following data: Queries answered per second Queries from cache direct per second Queries from file per second.
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