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NEW QUESTION: 1
You have a client's customer database with 500,000 entries from the past 5 years.
Here is the list of information you have for each entry:
- Email
- Phone Number
- Age
- Value
- Currency
- Customer Lifetime Value
The client wants you to build a lookalike audience based on customers who have profited the most during a specific timeframe. Customers usually stay with your client for 2 years.
What data do you need from the entries, and what type of audience would you build for this exercise?
Choose only ONE best answer.
A. You first need to segment the database based on the Customer Lifetime Value. With this data segmented, you should then build a custom audience and then use this as a seed audience to build a similar one optimized for similarity.
B. You would need the email, phone number, and value. With this information, you could build a value-based lookalike audience.
C. You would need the email, age, and customer lifetime value. With this information, you could build a value-based lookalike audience optimized for reach.
D. You should upload all of the information from customers. You can then build a custom audience with the entire database. With this database then build a similar audience to target the most profitable customers.
E. You would need the email, age, and customer lifetime value. With this information, you could upload a custom audience and market to them.
Answer: A
Explanation:
Explanation
Every time you use databases, you need to make sure you segment your database first, depending on the requirements. In this case, you need to find the customers with the best lifetime value.
You DON'T want to upload all of the databases, as you won't be able to segment on Facebook.
Once you've segmented the database, you should proceed to upload the database to build a custom audience.
This should allow you to use this audience as a seed audience. Because you've already segmented the database; you know that these are the users with the highest LTV.
You then use this to build a similar audience optimized for similarity, as you are trying to reach potential new customers that have the most similarity with your client's customer base.

NEW QUESTION: 2
リスク管理プログラムの主な目標は次のうちどれですか？
A. 組織のポリシーへのコンプライアンスを管理します。
B. 組織のリスク選好度を下げる
C. 固有のリスクによるビジネスへの影響を管理します。
D. 脅威に対する予防管理を実施する
Answer: C

NEW QUESTION: 3
You need to create a measure for DOD sales.
What should you do? (Each correct answer presents part of the solution. Choose all that apply.)
A. Use the Multidimensional Expressions (MDX) LAG() function.
B. Use the Business Intelligence Wizard to define time intelligence.
C. Use the Data Analysis Expressions (DAX) PARALLELPERIOD() function.
D. Specify a date table by using a Mark as Date table.
Answer: B,D
Explanation:
* From scenario:
A measure must be created to calculate day-over-day (DOD) sales by region based on
order date.
A: Specify Mark as Date Table for use with Time Intelligence (SSAS Tabular)
In order to use time intelligence functions in DAX formulas, you must specify a date table
and a unique identifier (datetime) column of the Date data type. Once a column in the date
table is specified as a unique identifier, you can create relationships between columns in
the date table and any fact tables.
C: The time intelligence enhancement is a cube enhancement that adds time calculations
(or time views) to a selected hierarchy. This enhancement supports the following
categories of calculations:
Period to date.
Period over period growth.
Moving averages.
Parallel period comparisons.
Topic 2, Contoso Ltd
Background
You are the business intelligence (BI) solutions architect for Contoso Ltd, a multinational sales company with offices in London, Madrid, Paris, Brisbane, Tokyo, and New York.
Contoso sells office consumable products such as pens, printer ink, and paper.
You produce solutions by using SQL Server 2012 Business Intelligence Edition and Microsoft SharePoint Server 2010 Enterprise Edition with SP1.
Technical Background
Contoso's products are categorized by using four levels while some use only two or three levels. Products are categorized as shown in the following table.

Contoso sells products through mobile sales staff, direct marketing, and its website. Sales personnel are located in various regions around the world, and each region has a sales manager who is paid a quarterly bonus based on the total sales in the region during the quarter. Regions are categorized as shown in the following table.

SQL Server Analysis Services (SSAS) is used to host a multidimensional database. The database contains a single cube named Sales and three database dimensions named Products, Regions, and Date. A single measure named Sales Total has been defined in the cube. The data source for the database is a SQL Server data warehouse.
The Products dimension contains a single user-defined hierarchy named Products. To prevent the display of empty members when users browse the Products dimension, the Extract, Transform, and Load (ETL) process populates all missing values as shown in the following diagram.

The structure of the Products hierarchy is shown in the following diagram.

The Regions dimension contains a single user-defined hierarchy named Sales Regions. The dimension is based on a single dimension table in the data warehouse and the attribute relationships have not been modified since the dimension was created by using the Dimension wizard. The structure of the Sales Regions hierarchy is shown in the following diagram.

The Date dimension contains a single user-defined hierarchy named Calendar. The structure of the Calendar hierarchy is shown in the following diagram.

A role named UserRegions has been created in the SSAS database that will be used to filter members in the Regions dimension based on the authenticated user.
Administrative staff from around the world will produce sales reports with Microsoft Excel 2010 based on the Sales cube.
Developers will produce reports with SQL Server Reporting Services (SSRS) based on the Sales cube and the reports will be delivered to users through report subscriptions and a web browser. All users log on to an Active Directory Domain Services (AD DS) domain named contoso.com. All client computers and servers are joined to the contoso.com domain.
Business Requirements
The BI system must meet the following reporting requirements: Display all sales figures in euro currency, regardless of the client's reporting location Include a new measure named AD Sales that calculates average daily sales for a
Support near real-time reporting while maintaining good performance for
-- selected month - multidimensional queries
--
Support reports that show currency exchange rates Deliver executive reports that are parameterized and rendered from report snapshots
In addition, cube objects must use terms familiar to users from around the world. For example, in the Sales Regions hierarchy, users from Great Britain must see the State level presented as County when browsing the Sales cube.
The Sales cube must support a new measure group named Sales Planning. The measure group must consist of a single measure named Sales Plan that enables the management team to use Excel 2010 to enter sales plans for future monitoring.
Technical Requirements
The BI system must meet the following technical requirements:
----
Architecture requirements The system must use separate servers for each of the following components: SQL Server Database Engine SQL Server Integration Services
SQL Server Analysis Services in multidimensional mode
SharePoint Server with the Reporting Services Add-in o All servers must be
installed using U.S. regional settings.
The system must source currency exchange rate data from a database hosted in
Windows Azure SQL Databases.
Security requirements
When possible, the system must use Windows authentication for all database
connections.
The system must prevent users from querying data from outside of their region.
The system must allow certain users to query data from multiple regions.
Development requirements
When browsing the Products hierarchy, repeating values for different levels of a
given drill-path must be avoided. For example, Papers -> Copy Paper -> Copy
Paper -> Copy Paper should appear simply as Papers -> Copy Paper.
The system must support report snapshots. The default maximum number of
retained snapshots must not exceed five.
--- ------ -

NEW QUESTION: 4
You are a Dynamics 365 Finance developer.
You need configure table caching.
Which CacheLookup properties should you use? To answer, drag the CacheLookup properties to the correct table. Each property 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:

Parameters: EntireTable
Transaction: NotInTTS
Master Data: Found
Region specific master data: FoundAndEmpty
Explanation:
https://community.dynamics.com/365/financeandoperations/b/performancetipsandtricks/posts/dynamics-365-for-finance-and-operations-table-caching-basic-rules#:~:text=Entire%20table%20cache%20size%20determines,365%20for%20Finance%20and%20Operations.&text=Each%20AOS%20server%20can%20have%20its%20own%20cache%20settings.