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NEW QUESTION: 1
Which of the following most likely would be an advantage in using classical variables sampling rather than
probability-proportional-to-size (PPS) sampling?
A. The auditor rarely needs the assistance of a computer program to design an efficient sample.
B. An estimate of the standard deviation of the population's recorded amounts is not required.
C. Any amount that is individually significant is automatically identified and selected.
D. Inclusion of zero and negative balances generally does not require special design considerations.
Answer: D
Explanation:
Explanation/Reference:
Explanation:
Choice "C" is correct. Inclusion of zero and negative balances requires special design considerations with
PPS sampling, but it does not require special design considerations with classical variables sampling.
Choice "A" is incorrect. An estimate of the standard deviation of the population's recorded amounts is
required for classical variables sampling, but not for PPS sampling.
Choice "B" is incorrect. The auditor is less likely to need a computer program to design an efficient sample
for PPS sampling than for classical variables sampling.
Choice "D" is incorrect. Any amount that is individually significant is more likely to be identified and
selected when using PPS sampling than when using classical variables sampling.
NEW QUESTION: 2
Search files.
Find out files owned by jack, and copy them to directory /root/findresults
Answer:
Explanation:
see explanation below.
Explanation
mkdir/root/findfiles
find / -user jack -exec cp -a {} /root/findfiles/ \; ls /root/findresults
NEW QUESTION: 3
You need to configure the server to optimize the afternoon report generation based on the OrderAnalysis cube.
Which property should you configure?
A. VirtualMemoryLimit
B. VertiPaqPagingPolicy
C. TotalMemoryLimit
D. LowMemoryLimit
Answer: D
Explanation:
LowMemoryLimit: For multidimensional instances, a lower threshold at which the server first begins releasing memory allocated to infrequently used objects.
From scenario: 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.
===============================================
Topic 2, Case Study #2
Background
Wide World Importers has multidimensional cubes named SalesAnalysis and ProductSales. The SalesAnalysis cube is refreshed from a relational data warehouse. You have a Microsoft SQL Server Analysis Services instance that is configured to use tabular mode. You have a tabular data model named CustomerAnalysis.
Sales Analysis
The SalesAnalysis cube contains a fact table named CoffeeSale loaded from a table named FactSale in the data warehouse. The time granularity within the cube is 15 minutes.
The cube is processed every night at 23:00. You determine that the fact table cannot be fully processed in the expected time. Users have reported slow query response times.
The SalesAnalysis model contains tables from a SQL Server database named SalesDB.
You set the DirectQueryMode option to DirectQuery. Data analyst access data from a cache that is up to 24 hours old. Data analyst report performance issues when they access the SalesAnalysis model.
When analyzing sales by customer, the total of all sales is shown for every customer, instead of the customer's sales value. When analyzing sales by product, the correct totals for each product are shown.
Customer Analysis
You are redesigning the CustomerAnalysis tabular data model that will be used to analyze customer sales. You plan to add a table named CustomerPermission to the model. This table maps the Active Directory login of an employee with the CustomerId keys for all customers that the employee manages.
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.
Data analysts must be able to analyze sales for financial years, financial quarters, months, and days. Many reports are based on analyzing sales by month.
Product Sales
The ProductSales cube allows data analysts to view sales information by product, city, and time. Data analysts must be able to view ProductSales data by Year to Date (YTD) as a measure. The measure must be formatted as currency, associated with the Sales measure group, and contained in a folder named Calculations.
Requirements
You identify the following requirements:
*Data available during normal business hours must always be up-to-date.
*Processing overhead must be minimized.
*Query response times must improve.
*All queries that access the SalesAnalysis model must use cached data by default.
*Data analysts must be able to access data in near real time.
NEW QUESTION: 4
A user has created a VPC with public and private subnets using the VPC wizard. The user has not launched any instance manually and is trying to delete the VPC. What will happen in this scenario?
A. It will not allow to delete the VPC since it has a running route instance
B. It will not allow to delete the VPC as it has subnets with route tables
C. It will not allow to delete the VPC since it has a running NAT instance
D. It will terminate the VPC along with all the instances launched by the wizard
Answer: C
Explanation:
A Virtual Private Cloud (VPC. is a virtual network dedicated to the user's AWS account. A user can create a subnet with VPC and launch instances inside that subnet. If the user has created a public private subnet, the instances in the public subnet can receive inbound traffic directly from the Internet, whereas the instances in the private subnet cannot. If these subnets are created with Wizard, AWS will create a NAT instance with an elastic IP. If the user is trying to delete the VPC it will not allow as the NAT instance is still running.