MDM Flashcards
Choose three scenarios where Dynamic Option can be applied [Verified in slides. Fundamentals: Dynamic Option]
- The utility has a program that credits customers for conservation during critical peak periods (CPP)
- The utility has a program where customers can optionally participate in demand response (DR) programs:
- A consumer receives a credit for consumption during a CPP event that is lower than their “normal” consumption
On what zone does work list icon appears [Verified in exercises]
Choices
- Map
- Explorer
- Standalone
- Query
Explorer
Where is Service Provider associated [Verified in slides]
Choices
- Device Type
- Device Configuration Type
- Usage Subscription Type
- Service Point Type
Device Type, Usage Subscription Type
how to communicate with external system? (parang may something bill determinants ung tanong kaya usage subscription ung sagot ko)
My Answer: Usage Subscription
Bene’s answer: Service Provider
Give two primary definition for Usage Transactions
- Push for bill determinants from the subscribing systems
- Pull for bill determinants to the subscribing systems
Choose three calculation types of Apply Math Usage Rule [Verified in Apply Math Algorithm]
- Single Value
- Math Function
- Mathematical Expression
What best describes TOU Map Template SPI [verified in the slides: Fundamentals Time of Use Map]
A TOU template’s interval size (SPI) controls the values allowed in the Start and End Times.
A template can be used to generate TOU data for TOU maps whose SPI divides evenly into the template’s SPI.
A scenario wherein TOU data should be generated. Where holiday consumption should be categorized as Off-Peak regardless of the day it falls on [verified on the slides Fundamentals TOU Map]
Choices
- Add work Calendar in the TOU Map Template and mark Holiday as off-peak
- Edit TOU Map Template to mark Holiday as “off-peak”
- Add work Calendar in the TOU Map Template and mark Holiday as off-peak
- Add work Calendar in the TOU Map Template and mark Holiday as off-peak
If TOU Map template is described as “controls the values allowed in the Start and End Times
A template can be used to generate TOU data for TOU maps whose SPI divides evenly into the template’s SPI”.
Choose the best choice on what possible TOU data will be generated by the TOU Map template with 60 SPI value [verified In fundamentals TOU Map]
Choices
- TOU Map template can only generate 60 minute TOU data
- TOU Map template can generate 60 minutes TOU data and 120 minutes TOU data
- TOU Map template can generate 60 minutes TOU data and 1440 minutes TOU data
- TOU Map template can generate 60 minute, 30 minute, 15 minute, 5 minute TOU data
- TOU Map template can generate 60 minute, 30 minute, 15 minute, 5 minute TOU data
10) Consider a rate that has different prices depending on:
a. The season of the year (winter, spring, summer, fall)
b. The time of day (peak, off-peak, shoulder)
c. The actual temperature as compared to the historic average (normal, hotter, colder)
How many TOU codes need to be set-up? [Verified on Fundamentals TOU Map]
This rate would require 36 TOU codes (4 seasons * 3 time of days * 3 temperature bands)
When is consumption aggregated? [Verified on Fundamentals: Aggregation]
- The system periodically aggregates consumption in batch (using a deferred monitor on the aggregator MCs)
- Users can re-aggregate real-time if they can’t wait or if the original aggregation needs to be redone due to incorrect admin or master data
- Users can create ad hoc aggregations “on the fly” and these will persist in the database
- Aggregation typically lags the current date by a few days to give the system time to upload and VEE the consumption; the amount of lag time is configured by the implementation
- Aggregation is always performed through a given “through time” (e.g., 12am) rather than through the time of aggregation
- The system periodically aggregates consumption in batch (using a deferred monitor on the aggregator MCs)
- Users can re-aggregate real-time if they can’t wait or if the original aggregation needs to be redone due to incorrect admin or master data
- Users can create ad hoc aggregations “on the fly” and these will persist in the database
- Aggregation typically lags the current date by a few days to give the system time to upload and VEE the consumption; the amount of lag time is configured by the implementation
- Aggregation is always performed through a given “through time” (e.g., 12am) rather than through the time of aggregation
- Note: Exam only ask you to choose 4 correct answers. The incorrect choice is “Users can create ad hoc aggregations “on the fly” and these will NOT persist in the database“
There would be plenty of Head-End system to be used by MDM. All with Manufacturer XYZ but models may be different for each Head-End System. Which option should be taken in order for the implementation team to minimize future enhancement?
Model Number
Which measuring component type should reference a device configuration
Choices:
- Physical
- Standalone
- Scratchpad
- Aggregator
Physical
Which item below best describes the goal for selecting ‘Maximum’ as the comparison method for the High/Low validation rule?
Choices:
- To identify intervals with suspiciously high usage relative to surrounding intervals.
- To identify if a configurable percentage of missing measurements exceeds the specified percentage.
- The rule compares the Average Daily Usage of the current Initial Measurement Data with the Average Daily Usage for historical measurements.
- The rule compares the Peak Usage of the current Initial Measurement Data with the Peak Usage for historical measurements.
The rule compares the Peak Usage of the current Initial Measurement Data with the Peak Usage for historical measurements.
Which validation rule calculates the difference between the highest interval and the third highest interval to determine the percent difference between the two?
Choices:
- High/Low Validation
- SPI Check
- Interval Spike Check
- Raise Missing Quantity
- High/Low Validation and Interval Spike Check
- Interval Spike Check