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NEW QUESTION: 1
Hotspot Question
You need to configure the project option settings to minimize deployment time for the CustomerAnalysis data model.
What should you do? To answer, select the appropriate setting from each list in the answer area.
Answer:
Explanation:
Explanation:
Scenario:
Box 1, Processing option:Default
Process Default detects the process state of database objects, and performs processing necessary to deliver unprocessed or partially processed objects to a fully processed state. If you change a data binding, Process Default will do a Process Full on the affected object.
Note: Processing Method This setting controls whether the deployed objects are processed after deployment and the type of processing that will be performed. There are three processing options:
Default processing (default)
Full processing
None
Box 2, Transactional deployment: False
If this option is False, Analysis Services deploys the metadata changes in a single transaction, and deploys each processing command in its own transaction.
Scenario: The CustomerAnalysis data model will contain a large amount of data and needs to be shared with other developers even if a deployment fails. Each time you deploy a change during development, processing takes a long time.
https://docs.microsoft.com/en-us/sql/analysis-services/multidimensional-models/deployment- script-files-specifying-processing-options
Topic 2, 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.
Sales Analysis
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.
Order Analysis
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.
NEW QUESTION: 2
Ein Techniker behebt Fehler auf einem Server im Finanzamt, auf dem sich ein internes Buchhaltungsprogramm befindet. Am Ticketschalter sind mehrere Anrufe von Benutzern eingegangen, die gemeldet haben, dass der Zugriff auf das Buchhaltungsprogramm eingeschränkt ist, und es kommt zu schwerwiegenden Verzögerungen, die manchmal zu einer vollständigen Zeitüberschreitung führen. Das Problem wurde auf den Server isoliert. Welches der folgenden Tools sollte der Techniker auf dem Server verwenden, um das Problem einzugrenzen?
A. nslookup
B. netsta:
C. iptables
D. Pfad
Answer: C
NEW QUESTION: 3
For a user-to-account correlation, choose four valid correlation rules.
-_$account.LastName"
A. @IdentityCorrelationRule rule= $globalUser.userName= [defaultuser] "
B. @ldentityCorrelationRule rule="$globaluser.userName="$account. FirstName(-1.1)
C. @ldentityCorrelationRule rule="$globaluser.userName=$account. FirstName (-1.1) $account.LastName"
D. @IdentityCorrelationRule rule="$globaluser.userName=$account. userName"
E. @IdentityCorrelationRule rule="globaluser.userName (-10) =$account .name"
Answer: A,B,C,D
Explanation:
The error in C is that globaluser.userName is used instead of
$globaluser.userName.
A correlation rule checks if the global user field matches an account field. The left side of the rule
(before the = sign) is associated with the global user, and the right side of the role is associated
with the account. For example, $globalUser.userName=$account.userName.
Note:
When creating data correlation rules, remember the following:
*Only one attribute can be set at a time for global users (on the left side of the rule), but any number of expressions can be configured on the right side of the rule for accounts.
*Correlation rules, once defined, are evaluated in the same order as they are found in the schema file.
*No patterns can be applied to the global user attribute. For example #globaluser.userName(-10) is not allowed.
*The default correlation rule to associate users to their entitlements on the basis of their user IDs is $globaluser.userName=$account.userName.
*The global user attribute and the global user table column should bear the same name for the data correlation feature to function correctly. For example, userName is the attribute that appears in the Oracle Identity Analytics table for global users and should be named accordingly.
*When one global user accurately meets a certain rule designed for it, the correlation is established between the user and entitlements and no further expressions are evaluated forthat account.
*If more than one global user meets a correlation rule for a given account, the next correlation rule is evaluated. Subsequently, both results are intersected, and, if as a result of this intersection only one global user meets both rules,that global user is correlated to the account.
Reference: Oracle Identity Analytics Business Administrator's Guide
Writing Correlation Rules
NEW QUESTION: 4
A. Yes
B. No
Answer: A
Explanation:
Explanation
https://azure.microsoft.com/en-us/blog/microservices-an-application-revolution-powered-by-the-cloud/