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Oracle Utilities Meter Solution Cloud Service 2022 Implementation Professional certification requires candidates to demonstrate their knowledge and proficiency in various areas, including the installation and configuration of Oracle Utilities Meter Solution Cloud Service, data migration, system integration, and troubleshooting. 1z0-1091-22 exam also covers topics such as deployment considerations, security, and performance tuning.
Oracle Utilities Meter Solution Cloud Service 2022 Implementation Professional Sample Questions (Q27-Q32):
NEW QUESTION # 27
Usage transactions can contain date breaks. What is used to supply date breaks?
- A. Deferred monitor calculation algorithm
- B. Requesting system or user input
- C. Usage subscription type
- D. Usage subscription BO
Answer: B
Explanation:
Explanation
Usage transactions can contain date breaks, which are dates that divide a usage period into sub-periods based on certain criteria or events. Date breaks are used to supply datebreaks for usage transactions. Date breaks are specified by the requesting system or user input when requesting a usage transaction. A requesting system is an external system or service provider that requests bill determinants from MDM. A user input is a manual entry of data by a user.
Usage subscription BO is not used to supply date breaks for usage transactions. A usage subscription BO is a business object that defines the relationship between a service point and a subscribing system.
Usage subscription type is not used to supply date breaks for usage transactions. A usage subscription type is a configuration that defines the properties and rules for a usage subscription.
Deferred monitor calculation algorithm is not used to supply date breaks for usage transactions. A deferred monitor calculation algorithm is a custom logic that can be developed by using Groovy scripting language or Java programming language. A deferred monitor calculation algorithm is used to perform certain calculations or validations on usage transactions after they are created.
NEW QUESTION # 28
Your client requests you to design and set up data necessary to support an electric meter that is installed at a customer's service point with solar panels:
* Channel 1: Measures the kWh that was consumed from the grid. This is an interval channel that measures in
60-minute intervals.
* Channel 2: Measures the kWh that was generated. This is an interval channel that measures in 60-minute intervals.
Using the Math usage rule, you must create usage transactions that take the difference between the consumed and generated channels, store and name the difference value, and store the derived curve.
Which THREE statements are true?
- A. Net consumption SQI is required.
- B. The two channels need distinct service quantity identifiers (SQIs) to differentiate between the generated and consumed kWh.
- C. You must set "Save Derived Vector" to Yes in the Math usage rule.
- D. A separate generated service point is required
- E. Net consumption SQI is not required because the result is stored in the database.
Answer: A,B,C
Explanation:
Explanation
The client requests to design and set up data necessary to support an electric meter that is installed at a customer's service point with solar panels. The meter has two channels that measure the kWh that was consumed from the grid and the kWh that was generated. Using the Math usage rule, usage transactions that take the difference between the consumed and generated channels must be created and stored. According to the Oracle Utilities Meter Data Management Business User Guide, some statements that are true about this scenario are:
* The two channels need distinct service quantity identifiers (SQIs) to differentiate between the generated and consumed kWh. SQIs are codes that identify different types of usage data, such as kWh, kVARh, or kW. SQIs can be used to specify which usage data should be used for calculation or validation purposes.
* Net consumption SQI is required. This is a code that identifies the usage data that represents the difference between the consumed and generated kWh. Net consumption SQI can be used to store and name the difference value and export it to other systems.
* You must set "Save Derived Vector" to Yes in the Math usage rule. This is a parameter that indicates whether the derived curve that results from the Math usage rule should be saved or not. Setting this parameter to Yes can be used to store the derived curve that represents the net consumption.
References: Oracle Utilities Meter Data Management Business User Guide, Chapter 3: Asset Management, Section 3.5: Measuring Components; Chapter 8: Usage, Section 8.4: Usage Calculations
NEW QUESTION # 29
At which stage during the high-level process of loading interval initial measurement data does Meter Data Management (MDM) normalize measurements and why?
- A. Validation, Estimation, and Editing (VEE) stage, so that each interval can be compared to a specific date and time for validation.
- B. Create the Final Measurements stage, so that each interval measurement is stored as a single record for a specific date and time.
- C. Create the Final Measurements stage, so that each interval is stored as the adjusted value to represent an average interval value.
- D. Load the Initial Measurements stage, so that each interval measurement is stored as a single record for a specific date and time.
Answer: B
Explanation:
Explanation
Oracle Utilities Meter Data Management normalizes measurements during the Create the Final Measurements stage of loading interval initial measurement data. Normalization is the process of converting interval measurements into a common format that can be processed by Oracle Utilities Meter Data Management.
Normalization involves storing each interval measurement as a single record for a specific date and time, regardless of how they are received from smart meter systems.
Oracle Utilities Meter Data Management does not normalize measurements during other stages of loading interval initial measurement data, such as Load the Initial Measurements stage or Validation, Estimation, and Editing (VEE) stage. Normalization is not done for other purposes, such as validation or intervalization.
NEW QUESTION # 30
A customer is starting an Advanced Meter Infrastructure (AMI) roll-out initiative and plans to use Meter Data Management (MDM). The AMI meters will record the consumption reading every 15 minutes through the day and a single register read at the end of the day. They plan to use this data for billing, load research, and presentment via their customer web portal.
What is the minimum number of measuring component types the customer needs to create in MDM?
- A. A single measuring component type to store the 15-minute interval readings along with the daily scalar register reading.
- B. A single measuring component type to store the 15-minute interval readings and another measuring component type for the daily scalar register reading.
- C. A single measuring component type to store AMI data (15-minute interval reading along with the daily scalar register reading) for each case purpose, far example: billing, load research, and customer web portal.
- D. A single measuring component type to store the 15-minute interval readings, and another measuring component type for the daily scalar register reading for each use case purpose, for example: billing, load research, and customer web portal.
Answer: A
Explanation:
Explanation
The customer needs to create a single measuring component type to store the 15-minute interval readings along with the daily scalar register reading. A measuring component type defines the type of measurement that a device can record, such as scalar, interval, or event. A measuring component type can store multiple measurement types, such as interval and scalar, for different purposes, such as billing, load research, and presentment1.
The customer does not need to create separate measuring component types for each measurement type or each use case purpose. This would result in unnecessary duplication of data and complexity of configuration1.
NEW QUESTION # 31
Which THREE are best practices for measurement retention?
- A. Keep initial measurement data (IMD) for the same period of time as final measurements for cancel rebill purposes.
- B. Use Information Lifecycle Management (ILM) processes to help archive data.
- C. Derive demand from interval data to prevent storing extra data.
- D. Derive time-of-use (TOU) values with interval data to prevent storing extra data.
- E. Keep scalar measurements in the customer read tables to stay consistent.
Answer: B,C,D
Explanation:
Explanation
Some of the best practices for measurement retention are:
* Derive time-of-use (TOU) values with interval data to prevent storing extra data: Time-of-use (TOU) values are scalar values that are calculated from interval data based on different TOU periods. Interval data is measurement data that is recorded at regular intervals, such as every 15 minutes or every hour.
To prevent storing extra data, you can derive TOU values with interval data instead of storing them separately.
* Derive demand from interval data to prevent storing extra data: Demand is a value that indicates the maximum power or load that is consumed or generated during a certain period. Demand can be calculated from interval data by using certain methods, such as block demand or rolling demand. To prevent storing extra data, you can derive demand from interval data instead of storing them separately.
* Use Information Lifecycle Management (ILM) processes to help archive data: Information Lifecycle Management (ILM) processes are features that enable MDM to manage the lifecycle of measurement data based on certain policies or rules. ILM processes can help archive data that is no longer needed or used by moving them to different storage tiers or deleting them.
You do not need to keep scalar measurements in the customer read tables to stay consistent, which are tables that store measurement data that is entered by customers or meter readers. Scalar measurements are measurement data that are recorded at certain events, such as billing cycle end or meter exchange. You can store scalar measurements in different tables based on their source or status.
You do not need to keep initial measurement data (IMD) for the same period of time as final measurements for cancel rebill purposes, which are records that store the raw measurement data that is received from smart meter systems or other sources. Final measurements are records that store the measurement data that has been validated, edited, and estimated. You can keep IMD for a shorter period of time than final measurements based on your business needs or requirements.
NEW QUESTION # 32
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