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NEW QUESTION: 1
You are building an online store on AWS that uses SQS to process your customer orders. Your backend system needs those messages in the same sequence the customer orders have been put in. How can you achieve that?
A. It is not possible to do this with SQS
B. You can use sequencing information on each message
C. You can do this with SQS but you also need to use SWF
D. Messages will arrive in the same order by default
Answer: B
Explanation:
Amazon SQS is engineered to always be available and deliver messages. One of the resulting tradeoffs is that SQS does not guarantee first in, first out delivery of messages. For many distributed applications, each message can stand on its own, and as long as all messages are delivered, the order is not important.
If your system requires that order be preserved, you can place sequencing information in each message, so that you can reorder the messages when the queue returns them.
Reference:
http://docs.aws.amazon.com/AWSSimpleQueueService/latest/SQSDeveloperGuide/Welcome.html

NEW QUESTION: 2
IAM 정책 내에서 Null 조건의 끝에 IfExists 조건을 추가 할 수 있습니까?
A. 아니요, Null 조건의 끝에 IfExists 조건을 추가 할 수 없습니다.
B. 예, Null 조건의 끝에 IfExists 조건을 추가 할 수 있지만 일부 지역에서는 가능하지 않습니다.
C. 예, Null 조건의 끝에 IfExists 조건을 추가 할 수 있습니다.
D. 예, 조건에 따라 Null 조건의 끝에 IfExists 조건을 추가 할 수 있습니다.
Answer: A
Explanation:
설명:
IAM 정책 내에서 Null 조건을 제외한 모든 조건 연산자 끝에 IfExists를 추가 할 수 있습니다. 정책 키가 요청의 컨텍스트에있는 경우 조건부 비교가 필요함을 표시하는데 사용될 수 있습니다. 그렇지 않으면 무시할 수 있습니다.
http://docs.aws.amazon.com/IAM/latest/UserGuide/reference_policies_elements.html

NEW QUESTION: 3
As a securing consultant, what are some of the things you would recommend to a company to ensure DNS security?
Select the best answers.
A. Harden DNS servers
B. Use split-horizon operation for DNS servers
C. Restrict Zone transfers
D. Use the same machines for DNS and other applications
E. Have subnet diversity between DNS servers
Answer: A,B,C,E
Explanation:
Explanations:
A is not a correct answer as it is never recommended to use a DNS server for any other application. Hardening of the DNS servers makes them less vulnerable to attack. It is recommended to split internal and external DNS servers (called split-horizon operation). Zone transfers should only be accepted from authorized DNS servers. By having DNS servers on different subnets, you may prevent both from going down, even if one of your networks goes down.

NEW QUESTION: 4
You need to select and configure a tool for the monitoring solution.
What should you choose?
A. Performance Monitor configured with the MSAS11:Storage Engine Query counter
B. Performance Monitor configured with the MSAS11:Processing counter
C. SQL Server Profiler configured with the Query Processing: Query Subcube event
D. SQL Server Profiler configured with the Queries Events: Query Begin event
Answer: D
Explanation:
Topic 5, Contoso, Ltd Case B
General Background
You are the business intelligence (BI) solutions architect for Contoso, Ltd, an online
retailer.
You produce solutions by using SQL Server 2012 Business Intelligence edition and
Microsoft SharePoint Server 2010 Service Pack 1 (SP1) Enterprise edition.
A SharePoint farm has been installed and configured for intranet access only. An Internet-
facing web server hosts the company's public e-commerce website. Anonymous access is
not configured on the Internet-facing web server.
Data Warehouse
The data warehouse is deployed on a 5QL Server 2012 relational database instance. The data warehouse is structured as shown in the following diagram.

The following Transact-SQL (T-SQL) script is used to create the FactSales and FactPopulation tables:

The FactPopulation table is loaded each year with data from a Windows Azure Marketplace commercial dataset. The table contains a snapshot of the population values for all countries of the world for each year. The world population for the last year loaded exceeds
6.8 billion people.
ETL Process
SQL Server Integration Services (SSIS) is used to load data into the data warehouse. All SSIS projects are developed by using the project deployment model.
A package named StageFactSales loads data into a data warehouse staging table. The package sources its data from numerous CSV files exported from a mainframe system. The CSV file names begin with the letters GLSD followed by a unique numeric identifier that never exceeds six digits. The data content of each CSV file is identically formatted.
A package named LoadFactFreightCosts sources data from a Windows Azure SQL Database database that has data integrity problems. The package may retrieve duplicate rows from the database.
The package variables of all packages have the RaiseChangedEvent property set to True.
A package-level event handler for the OnVariableValueChanged event consists of an Execute SQL task that logs the System::VariableName and System::VariableValue variables.
Data Models
SQL Server Analysis Services (SSAS) is used to host the Corporate BI multidimensional database. The Corporate BI database contains a single data source view named Data Warehouse. The Data Warehouse data source view consists of all data warehouse tables. All data source view tables have been converted to named queries.
The Corporate BI database contains a single cube named Sales Analysis and three database dimensions: Date, Customer and Product. The dimension usage for the Sales Analysis cube is as shown in the following image.

The Customer dimension contains a single multi-level hierarchy named Geography. The structure of the Geography hierarchy is shown in the following image.

The Sales Analysis cube's calculation script defines one calculated measure named Sales Per Capita. The calculated measure expression divides the Revenue measure by the Population measure and multiplies the result by 1,000. This calculation represents revenue per 1,000 people.
The Sales Analysis cube produces correct Sales Per Capita results for each country of the world; however, the Grand Total for all countries is incorrect, as shown in the following image (rows 2-239 have been hidden).

A role named Analysts grants Read permission for the Sales Analysis cube to all sales and marketing analysts in the company.