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Exam Code: AWS-Certified-Data-Analytics-Specialty
Exam Name: AWS Certified Data Analytics - Specialty (DAS-C01) Exam
Vendor: Amazon

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NEW QUESTION: 1
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 Business Intelligence Wizard to define time intelligence.
B. Specify a date table by using a Mark as Date table.
C. Use the Data Analysis Expressions (DAX) PARALLELPERIOD() function.
D. Use the Multidimensional Expressions (MDX) LAG() function.
Answer: A,B
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: 2
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this scenario, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You plan to create an Azure Databricks workspace that has a tiered structure. The workspace will contain the following three workloads:
* A workload for data engineers who will use Python and SQL
* A workload for jobs that will run notebooks that use Python, Spark, Scala, and SQL
* A workload that data scientists will use to perform ad hoc analysis in Scala and R The enterprise architecture team at your company identifies the following standards for Databricks environments:
* The data engineers must share a cluster.
* The job cluster will be managed by using a request process whereby data scientists and data engineers provide packaged notebooks for deployment to the cluster.
* All the data scientists must be assigned their own cluster that terminates automatically after 120 minutes of inactivity. Currently, there are three data scientists.
You need to create the Databrick clusters for the workloads.
Solution: You create a High Concurrency cluster for each data scientist, a High Concurrency cluster for the data engineers, and a Standard cluster for the jobs.
Does this meet the goal?
A. No
B. Yes
Answer: A
Explanation:
Explanation
No need for a High Concurrency cluster for each data scientist.
Standard clusters are recommended for a single user. Standard can run workloads developed in any language:
Python, R, Scala, and SQL.
A high concurrency cluster is a managed cloud resource. The key benefits of high concurrency clusters are that they provide Apache Spark-native fine-grained sharing for maximum resource utilization and minimum query latencies.
References:
https://docs.azuredatabricks.net/clusters/configure.html

NEW QUESTION: 3
Which default function task type always includes Appset maintenance
A. System
B. Secondary
C. Primary
D. Administration
Answer: A


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