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NEW QUESTION: 1
DRAG DROP
Answer:
Explanation:
NEW QUESTION: 2
An organization suspects it has had a breach, and it is trying to determine the potential impact. The organization knows the following:
The source of the breach is linked to an IP located in a foreign country.
The breach is isolated to the research and development servers.
The hash values of the data before and after the breach are unchanged.
The affected servers were regularly patched, and a recent scan showed no vulnerabilities.
Which of the following conclusions can be drawn with respect to the threat and impact? (Choose two.)
A. The confidentiality of the data is unaffected.
B. The integrity of the data is unaffected.
C. The source IP of the threat has been spoofed.
D. The threat is an insider.
E. The threat is an APT.
Answer: B,E
NEW QUESTION: 3
セッション診断出力が含まれている展示を参照してください。
セッション診断出力について正しい説明はどれですか？
A. セッションは双方向TCP接続です。
B. セッションは双方向UDP接続です。
C. セッションはTCPESTABLISHED状態です。
D. セッションはUDP単方向状態です。
Answer: C
NEW QUESTION: 4
You need to design the recovery strategy for SSRS01.
What should the strategy include? (Each correct answer presents part of the solution. Choose all that apply.)
A. Restore the ReportServer and ReportServerTempDB databases with recovery.
B. Re-create the SQL Server Agent jobs that are used to trigger schedules.
C. Restore the Report Server encryption key.
D. Restore the msdb database.
E. Restore the database encryption key.
F. Restore the ReportServer and ReportServerTempDB databases with no recovery.
Answer: A,B,C
Explanation:
Explanation/Reference:
Testlet 1
General Background
You are a Data Architect for a company that uses SQL Server 2012 Enterprise edition.
You have been tasked with designing a data warehouse that uses the company's financial database as the data source. From the data warehouse, you will develop a cube to simplify the creation of accurate financial reports and related data analysis.
Background
You will utilize the following three servers:
ServerA runs SQL Server Database Engine. ServerA is a production server and also hosts the financial
database.
ServerB runs SQL Server Database Engine, SQL Server Analysis Services (SSAS) in multidimensional
mode, SQL Server Integration Services (SSIS), and SQL Server Reporting Services (SSRS).
ServerC runs SSAS in multidimensional mode.
The financial database is used by a third-party application and the table structures cannot be modified.
The relevant tables in the financial database are shown in the exhibit. (Click the Exhibit button.)
The SalesTransactions table is 500 GB and is anticipated to grow to 2 TB. The table is partitioned by month. It contains only the last five years of financial data. The CouponUsed, OnSale, and Closeout columns contain only the values Yes or No. Each of the other tables is less than 10 MB and has only one partition.
The SecurityFilter table specifies the sites to which each user has access.
Business Requirements
The extract, transform, load (ETL) process that updates the data warehouse must run daily between 8:00
P.M. and 5:00 A.M. so that it doesn't impact the performance of ServerA during business hours. The cube data must be available by 8:00 A.M.
The cube must meet the following business requirements:
Ensure that reports display the most current information available.
Allow fast access to support ad-hoc reports and data analysis.
Business Analysts will access the data warehouse tables directly, and will access the cube by using SSRS, Microsoft Excel, and Microsoft SharePoint Server 2010 PerformancePoint Services. These tools will access only the cube and not the data warehouse.
Technical Requirements
SSIS solutions must be deployed by using the project deployment model.
You must develop the data warehouse and store the cube on ServerB. When the number of concurrent SSAS users on ServerB reaches a specific number, you must scale out SSAS to ServerC and meet following requirements:
Maintain copies of the cube on ServerB and ServerC.
Ensure that the cube is always available on both servers.
Minimize query response time.
The cube must meet the following technical requirements:
The cube must be processed by using an SSIS package.
The cube must contain the prior day's data up to 8:00 P.M. but does not need to contain same-day
data.
The cube must include aggregation designs when it is initially deployed.
A product dimension must be added to the cube. It will contain a hierarchy comprised of product name
and product color.
Because of the large size of the SalesTransactions table, the cube must store only aggregations-- the data warehouse must store the detailed data. Both the data warehouse and the cube must minimize disk space usage.
As the cube size increases, you must plan to scale out to additional servers to minimize processing time.
The data warehouse must use a star schema design. The table design must be as denormalized as possible. The history of changes to the Customer table must be tracked in the data warehouse. The cube must use the data warehouse as its only data source.
Security settings on the data warehouse and the cube must ensure that queries against the SalesTransactions table return only records from the sites to which the current user has access.
The ETL process must consist of multiple SSIS packages developed in a single project by using the least amount of effort. The SSIS packages must use a database connection string that is set at execution time to connect to the financial database. All data in the data warehouse must be loaded by the SSIS packages.
You must create a Package Activity report that meets the following requirements:
Track SSIS package execution data (including package name, status, start time, end time, duration,
and rows processed).
Use the least amount of development effort.