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NEW QUESTION: 1
コンテンツを考えると：

そして、コードの断片が与えられた：

どの2つのコードフラグメントが、行1に独立して挿入されたときに、コードの印刷を可能にしますか
"Wie geht's?"
A. currentLocale = new Locale ("de", "DE");
B. currentlocale = new Locale();
currentLocale.setLanguage ("de");
currentLocale.setRegion ("DE");
C. currentLocale = new Locale.Builder ().setLanguage ("de").setRegion ("DE").build();
D. currentLocale = Locale.getInstance(Locale.GERMAN,Locale.GERMANY);
E. currentLocale = Locale.GERMAN;
Answer: C

NEW QUESTION: 2
Which two actions must you perform to enable and use window scaling on a router? (Choose two.)
A. Execute the command ip tcp window-size 65536.
B. Execute the command ip tcp adjust-mss.
C. Execute the command ip tcp queuemax.
D. Set TCP options to "enabled" on the remote host.
E. Set window scaling to be used on the remote host.
Answer: A,E
Explanation:
Explanation/Reference:
Explanation:
The TCP Window Scaling feature adds support for the Window Scaling option in RFC 1323, TCP Extensions for High Performance . A larger window size is recommended to improve TCP performance in network paths with large bandwidth-delay product characteristics that are called Long Fat Networks (LFNs). The TCP Window Scaling enhancement provides that support. The window scaling extension in Cisco IOS software expands the definition of the TCP window to 32 bits and then uses a scale factor to carry this 32-bit value in the 16-bit window field of the TCP header. The window size can increase to a scale factor of 14. Typical applications use a scale factor of 3 when deployed in LFNs.
The TCP Window Scaling feature complies with RFC 1323. The larger scalable window size will allow TCP to perform better over LFNs. Use the ip tcp window-size command in global configuration mode to configure the TCP window size. In order for this to work, the remote host must also support this feature and its window size must be increased. Reference: http://www.cisco.com/c/en/us/td/docs/ios-xml/ios/ipapp/ configuration/12-4t/iap-12- 4t-book/iap-tcp.html#GUID-BD998AC6-F128-47DD-B5F7-B226546D4B08

NEW QUESTION: 3

A. Option D
B. Option C
C. Option A
D. Option B
Answer: A
Explanation:
Explanation
When the application does not experience the expected IOPS or throughput of the PIOPS EBS volume that was provisioned, the possible root cause could be that the EC2 bandwidth is the limiting factor and the instance might not be either EBS-optimized or might not have 10 Gigabit network connectivity. Another possible cause for not experiencing the expected IOPS could also be that the user is not driving enough I/O to the EBS volumes. The size of the volume may not affect IOPS.

NEW QUESTION: 4
You need to re-establish subscriptions on SSRS01.
What should you do?
A. Manually failover the active node.
B. Upgrade Node1 by using the SQL Server 2012 Upgrade wizard.
C. Install prerequisites and upgrade shared components on Node1 and Node2.
D. Generate a SQL Server 2012 configuration file by running the SQL Server Setup executable.
Answer: A
Explanation:
SSRS reports are scheduled by SQL server Agent jobs. Start the SQL Server Agent on SSRS01.
Topic 5, Data Architect
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.