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NEW QUESTION: 1
The Platform for Privacy Preferences (P3P) was developed by the World
Wide Web Consortium (W3C) for what purpose?
A. To implement privacy practices on Web sites
B. To implement public key cryptography for transactions
C. To monitor users
D. To evaluate a client's privacy practices
Answer: A
Explanation:
As of this writing, the latest W3C working draft of P3P is P3P 1.0, 28
January, 2002 (www.w3.org/TR). An excerpt of the W3C P3P
Specification states P3P enables Web sites to express their privacy
practices in a standard format that can be retrieved automatically and
interpreted easily by user agents. P3P user agents will allow users to be informed of site practices (in both machine- and human-readable formats) and to automate decision-making based on these practices
when appropriate. Thus users need not read the privacy policies at
every site they visit.
With P3, an organization can post its privacy policy in machinereadable form (XML) on its Web site. This policy statement includes:
Who has access to collected information
The type of information collected
How the information is used
The legal entity making the privacy statement
P3P also supports user agents that allow a user to configure a
P3P-enabled Web browser with the user's privacy preferences. Then,
when the user attempts to access a Web site, the user agent
compares the user's stated preferences with the privacy policy in
machine-readable form at the Web site. Access will be granted if the
preferences match the policy. Otherwise, either access to the Web site
will be blocked or a pop-up window will appear notifying the user
that he/she must change their privacy preferences. Usually, this
means that the user has to lower his/her privacy threshold. The other answers are distracters.

NEW QUESTION: 2

A. Option B
B. Option A
Answer: B

NEW QUESTION: 3
DRAG DROP
Case Study #1
This is a case study. Case studies are not limited separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.
To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other question on this case study.
At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next sections of the exam. After you begin a new section, you cannot return to this section.
To start the case study
To display the first question on this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the Question button to return to the question.
Background
Wide World Importers imports and sells clothing. The company has a multidimensional Microsoft SQL Server Analysis Services instance. The server has 80 gigabytes (GB) of available physical memory. The following installed services are running on the server:
SQL Server Database Engine

SQL Server Analysis Services (multidimensional)

The database engine instance has been configured for a hard cap of 50 GB, and it cannot be lowered. The instance contains the following cubes: SalesAnalysis, OrderAnalysis.
Reports that are generated based on data from the OrderAnalysis cube take more time to complete when they are generated in the afternoon each day. You examine the server and observe that it is under significant memory pressure.
Processing for all cubes must occur automatically in increments. You create one job to process the cubes and another job to process the dimensions. You must configure a processing task for each job that optimizes performance. As the cubes grown in size, the overnight processing of the cubes often do not complete during the allowed maintenance time window.
SalesAnalysis
The SalesAnalysis cube is currently being tested before being used in production. Users report that day name attribute values are sorted alphabetically. Day name attribute values must be sorted chronologically.
Users report that they are unable to query the cube while any cube processing operations are in progress.
You need to maximize data availability during cube processing and ensure that you process both dimensions and measures.
OrderAnalysis
The OrderAnalysis cube is used for reporting and ad-hoc queries from Microsoft Excel. The data warehouse team adds a new table named Fact.Transaction to the cube. The Fact.Transaction table includes a column named Total Including Tax. You must add a new measure named Transactions - Total Including Tax to the cube. The measure must be calculated as the sum of the Total Including Tax column across any selected relevant dimensions.
Finance
The Finance cube is used to analyze General Ledger entries for the company.
Requirements
You must minimize the time that it takes to process cubes while meeting the following requirements:
The Sales cube requires overnight processing of dimensions, cubes, measure groups, and partitions.

The OrderAnalysis cube requires overnight processing of dimensions only.

The Finance cube requires overnight processing of dimensions only.

You need to create the cube processing job and the dimension processing job.
Which processing task should you use for each job? To answer, drag the appropriate processing tasks to the correct locations. Each processing task 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.
Select and Place:

Answer:
Explanation:

Explanation/Reference:
Box 1: ProcessData
Processes data only without building aggregations or indexes. If there is data is in the partitions, it will be dropped before re-populating the partition with source data.
Box 2: Process Update
Forces a re-read of data and an update of dimension attributes. Flexible aggregations and indexes on related partitions will be dropped.
References:https://docs.microsoft.com/en-us/sql/analysis-services/multidimensional-models/processing- options-and-settings-analysis-services