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NEW QUESTION: 1
Which two DSL technologies are symmetrical? (Choose two.)
A. RADSL
B. HDSL
C. VDSL
D. SDSL
E. ADSL
Answer: B,D

NEW QUESTION: 2
You are creating a SQL Server Analysis Services (SSAS) cube.
You need to create a time dimension. It must be linked to a measure group named Sales at the day granularity level. It must also be linked to a measure group named Salary at the month granularity level.
What should you do?
A. Create a dimension with one attribute hierarchy. Set the IsAggregatable property to False and then set the DefaultMember property. Use a regular relationship between the dimension and measure group.
B. 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.
C. Add a measure that uses the LastNonEmpty aggregate function. Use a regular relationship between the time dimension and the measure group.
D. 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.
E. Create a dimension. Then add a cube dimension and link it several times to the measure group.
F. Use role playing dimensions.
G. 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.
H. Add a calculated measure based on an expression that counts members filtered by the Exists and NonEmpty functions.
I. Add a measure that uses the DistinctCount aggregate function to an existing measure group.
J. Add a hidden measure that uses the Sum aggregate function. Add a calculated measure aggregating the measure along the time dimension.
K. Add a measure group that has one measure that uses the DistinctCount aggregate function.
L. Create several dimensions. Add each dimension to the cube.
M. Create a dimension. Create regular relationships between the cube dimension and the measure group. Configure the relationships to use different dimension attributes.
N. Add a measure that uses the Count aggregate function to an existing measure group.
O. Use the Business Intelligence Wizard to define dimension intelligence.
Answer: M

NEW QUESTION: 3
After selecting an object in vRealize Operations, how can a user compare the badge values of related child objects?
A. Use the Members tab
B. Use the Relationship tab
C. Use the Scoreboard tab
D. Use the Overview tab
Answer: C

NEW QUESTION: 4
Which metric can you use to evaluate a classification model?
A. mean absolute error (MAE)
B. true positive rate
C. coefficient of determination (R2)
D. root mean squared error (RMSE)
Answer: B
Explanation:
Explanation
What does a good model look like?
An ROC curve that approaches the top left corner with 100% true positive rate and 0% false positive rate will be the best model. A random model would display as a flat line from the bottom left to the top right corner.
Worse than random would dip below the y=x line.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-understand-automated-ml#classification