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NEW QUESTION: 1
In which Functional setup Manager task is Next Purchase Order Number set up?
A. Configure Procurement Business Function
B. Configure Requisitioning Business Function
C. Define a sequence for auto numbering and assign it back in Configure BU numbering setup
D. Manage Common Options for Payables
Answer: B
NEW QUESTION: 2
You are designing a SQL Server Analysis Services (SSAS) cube.
You need to create a measure to count unique customers.
What should you do?
A. Add a calculated measure based on an expression that counts members filtered by the Exists and NonEmpty functions.
B. Add a measure that uses the LastNonEmpty aggregate function. Use a regular relationship between the time dimension and the measure group.
C. Create a dimension with one attribute hierarchy. Set the ValueColumn property, set the IsAggregatable property to False, and then set the DefaultMember property. Configure the cube dimension so that it does not have a relationship with the measure group. Add a calculated measure that uses the MemberValue attribute property.
D. Add a measure that uses the DistinctCount aggregate function to an existing measure group.
E. Add a hidden measure that uses the Sum aggregate function. Add a calculated measure aggregating the measure along the time dimension.
F. Create a new named calculation in the data source view to calculate a rolling sum. Add a measure that uses the Max aggregate function based on the named calculation.
G. Use role playing dimensions.
H. Add a measure that uses the Count aggregate function to an existing measure group.
I. Create several dimensions. Add each dimension to the cube.
J. Add a measure group that has one measure that uses the DistinctCount aggregate function.
K. Create a dimension. Create regular relationships between the cube dimension and the measure group. Configure the relationships to use different dimension attributes.
L. Create a dimension. Then add a cube dimension and link it several times to the measure group.
M. Create a dimension with one attribute hierarchy. Set the IsAggregatable prooerty to False and then set the DefaultMember property. Use a regular relationship between the dimension and measure group.
N. Create a dimension with one attribute hierarchy. Set the IsAggregatable property to False and then set the DefaultMember property. Use a many-to-many relationship to link the dimension to the measure group.
O. Use the Business Intelligence Wizard to define dimension intelligence.
Answer: J
NEW QUESTION: 3
The contents of the raw data file TEAM are listed below:
--------10-------20-------30
Janice 10
Henri 11
Michael 11
Susan 12
The following SAS program is submitted:
data group;
infile 'team';
input name $15. age 2.;
file 'file-specification';
put name $15. +5 age 2.;
run;
Which one of the following describes the output created?
A. a SAS data set named GROUP only
B. a SAS data set named GROUP and a raw data file
C. a raw data file only
D. No output is generated as the program fails to execute due to errors.
Answer: B
NEW QUESTION: 4
A company is building a sensor data collection pipeline in which thousands o( sensors write data to an Amazon Simple Queue Service (Amazon SQS) queue every minute The queue is processed by an AWS Lambda function that extracts a standard set of metrics from the sensor data The company wants to send the data to Amazon CloudWatch The solution should allow lor viewing individual and aggregate sensor metrics and interactively querying the sensor log data using CloudWatch Logs Insights What is the MOST cost-effective solution that meets these requirements?
A. Write the processed data to CloudWatch Logs in a structured format. Create a CloudWatch metric filter to parse the logs and publish the metrics to CloudWatch with dimensions to uniquely identify a sensor
B. Write the processed data to CloudWatch Logs in the CloudWatch embedded metric format
C. Write the processed data to CloudWatch Logs Then write the data to CloudWatch by using the PutMetricData API call
D. Configure the CloudWatch Logs agent for AWS Lambda Output the metrics for each sensor in statsd format with tags to uniquely identify a sensor Write the processed data to CloudWatch Logs
Answer: A
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