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NEW QUESTION: 1
When trying to cultivate opportunities with customers, which kind of questions are best suited to allow them to share their challenges and concerns?
A. yes or no questions
B. rhetorical questions
C. pointed questions
D. open-ended questions
Answer: C

NEW QUESTION: 2

A. Option B
B. Option A
C. Option C
D. Option D
Answer: A
Explanation:
Topic 5, Contoso, Ltd Case B
General Background
You are the business intelligence (BI) solutions architect for Contoso, Ltd, an online retailer.
You produce solutions by using SQL Server 2012 Business Intelligence edition and Microsoft SharePoint Server 2010 Service Pack 1 (SP1) Enterprise edition.
A SharePoint farm has been installed and configured for intranet access only. An Internet-facing web server hosts the company's public e-commerce website. Anonymous access is not configured on the Internet-facing web server.
Data Warehouse
The data warehouse is deployed on a 5QL Server 2012 relational database instance. The data warehouse is structured as shown in the following diagram.

The following Transact-SQL (T-SQL) script is used to create the FactSales and FactPopulation tables:

The FactPopulation table is loaded each year with data from a Windows Azure Marketplace commercial dataset. The table contains a snapshot of the population values for all countries of the world for each year. The world population for the last year loaded exceeds 6.8 billion people.
ETL Process
SQL Server Integration Services (SSIS) is used to load data into the data warehouse. All SSIS projects are developed by using the project deployment model.
A package named StageFactSales loads data into a data warehouse staging table. The package sources its data from numerous CSV files exported from a mainframe system. The CSV file names begin with the letters GLSD followed by a unique numeric identifier that never exceeds six digits. The data content of each CSV file is identically formatted.
A package named LoadFactFreightCosts sources data from a Windows Azure SQL Database database that has data integrity problems. The package may retrieve duplicate rows from the database.
The package variables of all packages have the RaiseChangedEvent property set to true. A package-level event handler for the OnVariableValueChanged event consists of an Execute SQL task that logs the System::VariableName and System::VariableValue variables.
Data Models
SQL Server Analysis Services (SSAS) is used to host the Corporate BI multidimensional database. The Corporate BI database contains a single data source view named Data Warehouse. The Data Warehouse data source view consists of all data warehouse tables. All data source view tables have been converted to named queries.
The Corporate BI database contains a single cube named Sales Analysis and three database dimensions: Date, Customer and Product. The dimension usage for the Sales Analysis cube is as shown in the following image.

The Customer dimension contains a single multi-level hierarchy named Geography. The structure of the Geography hierarchy is shown in the following image.

The Sales Analysis cube's calculation script defines one calculated measure named Sales Per Capita. The calculated measure expression divides the Revenue measure by the Population measure and multiplies the result by 1,000. This calculation represents revenue per 1,000 people.
The Sales Analysis cube produces correct Sales Per Capita results for each country of the world; however, the Grand Total for all countries is incorrect, as shown in the following image (rows 2-239 have been hidden).

A role named Analysts grants Read permission for the Sales Analysis cube to all sales and marketing analysts in the company.
SQL Server Reporting Services (SSRS) is configured in SharePoint integrated mode. All reports are based on shared data sources.
Corporate logo images used in reports were originally configured as data-bound images sourced from a SQL Server relational database table. The image data has been exported to JPG files. The image files are hosted on the Internet-facing web server. All reports have been modified to reference the corporate logo images by using the fully qualified URLs of the image files. A red X currently appears in place of the corporate logo in reports.
Users configure data alerts on certain reports. Users can view a report named Sales Profitability on demand; however, notification email messages are no longer being sent when Sales Profitability report data satisfies alert definition rules. The alert schedule settings for the Sales Profitability report are configured as shown in the following image.

Business Requirements
Data Models
Users must be able to:
* Provide context to measures and filter measures by using all related data warehouse dimensions.
* Analyze measures by order date or ship date.
Additionally, users must be able to add a measure named Sales to the report canvas by clicking only once in the Power View field list. The Sales measure must allow users to analyze the sum of the values in the Revenue column of the FactSales data warehouse table. Users must be able to change the aggregation function of the Sales measure.
Analysis and Reporting
A sales manager has requested the following query results from the Sales Analysis cube for the 2012 fiscal year:
* Australian postal codes and sales in descending order of sales.
* Australian states and the ratio of sales achieved by the 10 highest customer sales made for each city in that state.
Technical Requirements
ETL Processes
If an SSIS package variable value changes, the package must log the variable name and the new variable value to a custom log table.
The StageFactSales package must load the contents of all files that match the file name pattern. The source file name must also be stored in a column of the data warehouse staging table.
In the design of the LoadFactSales package, if a lookup of the dimension surrogate key value for the product code fails, the row details must be emailed to the data steward and written as an error message to the SSIS catalog log by using the public API.
You must configure the LoadFactFreightCosts package to remove duplicate rows, by using the least development effort.
Data Models
Users of the Sales Analysis cube frequently filter on the current month's data. You must ensure that queries to the Sales Analysis cube default to the current month in the Order Date dimension for all users.
You must develop and deploy a tabular project for the exclusive use as a Power View reporting data source.
The model must be based on the data warehouse. Model table names must exclude the Dim or Fact prefixes.
All measures in the model must format values to display zero decimal places.
Analysis and Reporting
Reports must be developed that combine the SSIS catalog log messages with the package variable value changes.

NEW QUESTION: 3
Which three statements are true about Automatic Degree of Parallelism (Auto DOP) on
Exadata?
A. Auto DOP is enabled by default on Oracle 11gR2, allowing full use of its features.
B. Auto DOP is disabled by default and must be enabled before SQL statements can take advantage of its features.
C. Auto DOP is an exclusive feature in Exadata, which allows the database optimizer to evaluate each statement and run it in parallel without special hints.
D. SQL statements that take advantage of Auto DOP am be identified by using data from
Oracle Automatic Workload Repository (AWR) or Enterprise Manager's Monitored SQL
Executions page.
E. Oracle's Auto DOP algorithms calculate the Degree of Parallelism based on the table's block counts.
Answer: B,D,E
Explanation:
B (not c): To enable the features in 11g Release 2, use the parallel_degree_policy parameter (by default this stuff is off - parameter is set to manual).
For Auto DOP, setting this to limited is sufficient. If you want more functionality (in-memory parallel processing and parallel statement queuing parallel_degree_policy should be set to auto).
Incorrect:
Not A:
* What if you don't have Exadata? Chances are that if your system is large enough to warrant Auto DOP, it is similar enough to Exadata to behave nicely with this number.
* Auto DOP is only useful in systems with enough CPUs and disks to make concurrent parallel processing feasible. It was designed mostly for Exadata, or for systems of similar size. 48 CPUs and 84 disks sound like a nice start

NEW QUESTION: 4
To construct a Fishbone Diagram and capture all the issues of interest it is best if your team uses the ________________ approach.
A. Graphical
B. Shewhart
C. Brainstorming
D. Data collection
Answer: C

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