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NEW QUESTION: 1
次のポリシーのうち、組織が会社のIT /セキュリティ運用における潜在的な単一障害点を特定して軽減するのに役立つポリシーはどれですか。
A. 必須の休暇
B. 意識向上トレーニング
C. 職務の分離
D. 最小限の特権
Answer: B
NEW QUESTION: 2
Which of the following activities would not be included in the contingency planning process phase?
A. Assessment of threat impact on the organization
B. Prioritization of applications
C. Development of test procedures
D. Development of recovery scenarios
Answer: C
Explanation:
All of the answers except Development of test procedures would all be part of the
contingency planning phase.
Risk management minimizes loss to information assets due to undesirable events through
identification, measurement, and control. It encompasses the overall security review, risk analysis,
selection and evaluation of safeguards, cost-benefit analysis, management decision, and
safeguard identification and implementation, along with ongoing effectiveness review.
In many organizations, contingency planning is a necessity that has turned out to be beneficial in
more ways than ever expected. Contingency planning helps to ensure an organization's viability
during and following a disaster.
Another benefit of contingency planning is significant improvements in the daily operations of
many organizations. Researching and documenting contingency plans can discover numerous
single points of failure (SPOF). A SPOF is any single input to a process that, if missing, would
cause the process or several processes to be unable to function. Once identified, these SPOFs
can often easily be eliminated or have their damaging potential reduced.
Many organizations have also witnessed process improvements as a direct result of their
contingency planning efforts, particularly while exercising their DR and BCPs.
The following answers are incorrect as they are all part of Contengency Planning:
prioritization of apps = asset valuation
assessment of threat impact = threat modeling
development of recovery scenarios = risk mitigation
The following reference(s) were/was used to create this question:
Hernandez CISSP, Steven (2012-12-21). Official (ISC)2 Guide to the CISSP CBK, Third Edition
((ISC)2 Press) (Kindle Locations 8882-8884). Auerbach Publications. Kindle Edition.
and
Hernandez CISSP, Steven (2012-12-21). Official (ISC)2 Guide to the CISSP CBK, Third Edition
((ISC)2 Press) (Kindle Locations 20749-20756). Auerbach Publications. Kindle Edition.
NEW QUESTION: 3
You need to ensure that queries to the Sales Analysis cube default to the correct time period.
Where should you set the default member Multidimensional Expressions (MDX) expression?
A. In the DefaultMember property of the Month attribute of the Date dimension.
B. In the DefaultMeasure property of the cube.
C. In the Analysts role.
D. In the cube's calculation script.
Answer: D
Explanation:
Topic 8, Tailspin Toys Case B
Overview
Tailspin Toys is a manufacturing company that has offices across the United States, Europe, and Asia.
Tailspin Toys plans to implement a business intelligence (BI) solution for its US-based headquarters to manage the sales data, including information on customer transactions, products, sales quotas, and bonuses.
Existing Environment
Data Sources
Tailspin Toys currently stores data in line-of-business applications, relational databases, flat files, and the following; - A Microsoft Excel spreadsheet named MarketResearch.xlsx. The spreadsheet is stored on a network drive in a directory owned by an analyst. - A tabular model named Research.xlsx used in PowerPivot for Excel. Research.xlsx uses MarketResearch.xlsx as one of its data sources.
Network
The network contains an Active Directory forest named tailspintoys.com. The forest contains a Microsoft SharePoint Server 2013 server farm.
Implementation Plans
Databases
Tailspin Toys plans to build a star schema data warehouse named DB1. DB1 will be loaded from several different sources and will be updated nightly to contain new sales data.
DB1 will contain the following table types: - A fact table to store transactional data, including transaction date, productID,
customerID, quantity, and sales amounts. - Dimension tables to store information about each customer, each product, each date, and each sales department user.
BI Semantic Models
Tailspin Toys plans to deploy the following BI semantic models: - A multidimensional cube named CUBE1 that will store sales data. CUBE1 will be based on DB1 and will be hosted in SQL Server Analysis Services (SSAS). CUBE1 will contain two distinct count measures named UniqueCustomers and UniqueProducts. The measures are expected to aggregate hundreds of millions of rows from DB1. - A tabular model named SalesCommission that will contain information about sales department user quotas and commissions. - A tabular model named Research that will contain the migrated model from Research.xlsx. - An instance of SSAS in tabular mode named Tabular.
Planned Reports and Queries
Tailspin Toys plans to implement the following reports and queries: - Power View reports that use data from the Research model. - Reports for each year the company recorded sales data that used the SalesCommission model. The reports will use the Dates_Between() and the DatesInPeriod() DAX functions in queries. - Reports that use CUBE1 that contain the following query statements:
- A report named SalesByCategory that uses CUBE1 and the following query statement: (Line numbers are included for reference only.)
Self-Service Reporting
Tailspin Toys plans to deploy the following self-service reports:
- Reports created by sales department specialists that use CUBE1 and contain drillthroughs, maps, sparklines, and Key Performance Indicators (KPIs). The reports will be stored in a SharePoint Server document library named Library1.
- Reports created by sales department managers that use the SalesCommission model. The reports will contain visualizations that show sales department users their current sales as compared to their quota.
- Power Pivot models stored in a SharePoint Server document library that is configured as a PowerPivot Gallery named Gallery1.
Requirements
Data Security Requirements
Sales department users browsing CUBE1 must be able to view the sales data that relates to their respective customers only.
Access to reports must be controlled by using SharePoint permissions.
ETL Requirements
Tailspin Toys identifies the following extract, transformation, and load (ETL) requirements: - Nightly updates of DB1 must support the incremental load of dimension and fact tables on separate schedules. Fact data may be loaded before dimension data. - ETL processes must be able to update dimension attributes without losing context for historical facts. - Referential integrity between dimension and fact tables must be maintained at all times.
Cube Performance Requirements
The design of CUBE1 must minimize the processing time of the UniqueCustomers and Unique Products measures. The time required to process CUBE1 each night must be minimized.
Data Refresh Requirements
The Research model must be refreshed nightly without interrupting the workflow of the analyst.
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