[2024] Use Valid 1z0-1091-22 Exam - Actual Exam Question & Answer
Test Engine to Practice 1z0-1091-22 Test Questions
Oracle 1z0-1091-22 (Oracle Utilities Meter Solution Cloud Service 2022 Implementation Professional) certification exam is a valuable credential for professionals who want to demonstrate their expertise in implementing and configuring Oracle Utilities Meter Solution Cloud Service 2022. Oracle Utilities Meter Solution Cloud Service 2022 Implementation Professional certification exam measures the candidate's knowledge and skills in key areas such as architecture, installation and configuration, security, integration, and deployment. Achieving this certification can help professionals advance their career in the field of Oracle Utilities and increase their earning potential.
Oracle 1z0-1091-22 certification exam is designed for professionals who want to demonstrate their skills and knowledge in implementing Oracle Utilities Meter Solution Cloud Service 2022. Oracle Utilities Meter Solution Cloud Service 2022 Implementation Professional certification is suitable for individuals who work in the utilities industry and are responsible for implementing and managing the Oracle Utilities Meter Solution Cloud Service. 1z0-1091-22 exam tests the candidate's ability to implement, configure, and troubleshoot the solution, as well as their understanding of the underlying technologies and architecture.
Oracle Utilities Meter Solution Cloud Service 2022 Implementation Professional Certification Exam, also known as 1z0-1091-22, is a certification exam designed to test the knowledge and skills of professionals who want to implement and configure Oracle Utilities Meter Solution Cloud Service 2022. Oracle Utilities Meter Solution Cloud Service 2022 Implementation Professional certification exam is intended for individuals who have a solid understanding of Oracle Utilities Meter Solution and want to gain expertise in implementing and customizing the solution to meet specific business needs.
NEW QUESTION # 19
The client has installed scalar devices to measure the solar energy generated (export) and the energy received (import) from the market. This data is stored in separate measuring components (registers). The validation rules are generally the same for both measuring components, but there is one exception: the negative consumption check applies only to energy received (import).
Which TWO configurations ensure that the negative consumption rule is checked for energy received (import) only?
- A. Use eligibility criteria.
- B. Modify the base VEE rule.
- C. Remove the negative consumption check from the VEE group.
- D. Use the Skip flag in the Validation, Estimation, and Editing (VEE) rule.
- E. Create two different VEE groups.
Answer: A,D
Explanation:
Explanation
The client has installed scalar devices to measure the solar energy generated (export) and the energy received (import) from the market. This data is stored in separate measuring components (registers). The validation rules are generally the same for both measuring components, but there is one exception: the negative consumption check applies only to energy received (import). According to the Oracle Utilities Meter Data Management Business User Guide, two configurations that ensure that the negative consumption check is checked for energy received (import) only are:
* Use eligibility criteria: These are rules that determine whether a VEE rule should be applied or not based on certain conditions or characteristics. Eligibility criteria can be used to apply the negative consumption check only to the measuring component that has a characteristic value indicating energy received (import).
* Use the Skip flag in the VEE rule: This is a flag that indicates whether a VEE rule should be skipped or not based on certain conditions or characteristics. The Skip flag can be used to skip the negative consumption check for the measuring component that has a characteristic value indicating energy
* generated (export).
References: Oracle Utilities Meter Data Management Business User Guide, Chapter 8: Usage, Section 8.3:
Validation, Estimation, and Editing
NEW QUESTION # 20
Which TWO Validation, Estimation, and Editing (VEE) rules are typically configured on a project for consumption synchronization processes?
- A. Sum check: Ensure the two measuring components are in sync.
- B. Interval adjustment from scalar: Adjust the interval curve to the register consumption.
- C. Low check: Check for invalid low usage.
- D. Unit of Measure (UOM) check: Ensure UOMs are correct.
Answer: A,B
Explanation:
Explanation
Consumption synchronization is a process that ensures that the usage data from different measuring components (such as interval and scalar) are consistent and aligned. Consumption synchronization can be performed using various methods, such as adjustment, estimation, or derivation. According to the Oracle Utilities Meter Data Management Business User Guide, two types of VEE rules that are typically configured on a project for consumption synchronization processes are:
* Interval adjustment from scalar: This is a rule that adjusts the interval curve to match the register consumption. Interval adjustment from scalar can be used to correct any discrepancies between interval and scalar usage data due to factors such as clock drift or multiplier errors.
* Sum check: This is a rule that ensures that the usage data from two measuring components are in sync.
Sum check can be used to compare the usage data from different measuring components (such as import and export) and flag any differences or errors.
References: Oracle Utilities Meter Data Management Business User Guide, Chapter 8: Usage, Section 8.3:
Validation, Estimation, and Editing; Section 8.5: Consumption Synchronization
NEW QUESTION # 21
A business needs a new Service Order process that includes meter commands. Which THREE options should you configure to build this process?
- A. Activity type
- B. Device configuration type
- C. Communication type Message sender
- D. Measuring component type
Answer: A,C,D
Explanation:
Explanation
To build a new Service Order process that includes meter commands, you need to configure the following options:
* Measuring component type: This defines the type of measurement that a device can record, such as scalar, interval, or event. You can associate meter commands with measuring component types to perform actions on devices that have those types1.
* Activity type: This defines the type of work that needs to be performed on a service point or device, such as installation, removal, or inspection. You can associate meter commands with activity types to trigger actions on devices when an activity is completed1.
* Communication type Message sender: This defines the communication channel and protocol that is used to send meter commands to devices. You can configure message senders for different communication types, such as AMI, AMR, or manual1.
You do not need to configure device configuration type, which defines the physical characteristics and attributes of a device, such as manufacturer, model, or serial number1. Device configuration type does not affect meter commands.
NEW QUESTION # 22
Which TWO functions can the service point-measurement cycle relationship of Meter Data Management (MDM) perform?
- A. Initiate request of bill determinants from subscribing systems.
- B. Initiate push of bill determinants ta subscribing systems.
- C. Create hand-held download read activities.
- D. Create optimal meter reader routes by measurement cycle.
Answer: A,B
Explanation:
Explanation
The service point-measurement cycle relationship of Meter Data Management (MDM) can perform the following functions:
* Initiate request of bill determinants from subscribing systems: A subscribing system is an external system or service provider that receives bill determinants from MDM. A bill determinant is a value that is used to calculate a bill for a service point or device. The service point-measurement cycle relationship can initiate a request of bill determinants from subscribing systems based on the measurement cycle schedule. A measurement cycle schedule defines the dates on which devices are scheduled to be read for a given measurement cycle. A measurement cycle defines the schedule for manual meter reading of devices at service points in that cycle.
* Initiate push of bill determinants to subscribing systems: The service point-measurement cycle relationship can also initiate a push of bill determinants to subscribing systems based on the measurement cycle schedule. This means that MDM can send bill determinants to subscribing systems automatically or on demand.
The service point-measurement cycle relationship cannot perform the following functions:
* Create optimal meter reader routes by measurement cycle: A meter reader route is a sequence of service points or devices that are assigned to a meter reader formanual meter reading. A meter reader route is not created by the service point-measurement cycle relationship, but by using other configurations, such as route type or route sequence.
* Create hand-held download read activities: A hand-held download read activity is an activity that downloads measurement data from a hand-held device to MDM. A hand-held download read activity is not created by the service point-measurement cycle relationship, but by using other configurations, such as activity type or activity status.
NEW QUESTION # 23
Which TWO statements are true about the Measurement Reprocessing functional?
- A. Measurement reprocessing is executed by users manually, which imports corrected initial measurement data (IMD) records.
- B. When a meter multiplier changes retroactively, measurements are reprocessed, triggering billing adjustment notifications that are sent to the customer information systems.
- C. When an installation constant changes retroactively for a meter, measurements are automatically reprocessed, triggering billing adjustment notifications that are sent to the customer information systems.
- D. Derived measurements are recalculated based on new data.
Answer: B,D
Explanation:
Explanation
The Measurement Reprocessing functionality is a feature that enables MDM to reprocess measurements based on certain criteria or events. Some of the statements that are true about the Measurement Reprocessing functionality are:
* When a meter multiplier changes retroactively, measurements are reprocessed, triggering billing adjustment notifications that are sent to the customer information systems: A meter multiplier is a value that is used to adjust measurements based on certain factors, such as device accuracy or calibration.
* When a meter multiplier changes retroactively for a meter, measurements are reprocessed by applying the new meter multiplier value and triggering billing adjustment notifications that are sent to the customer information systems (CIS) to correct any billing errors or discrepancies.
* Derived measurements are recalculated based on new data: Derived measurements are values that are calculated from raw measurements based on certain rules or factors. When new data is available for raw measurements, such as corrected or estimated values, derived measurements are recalculated based on the new data.
When an installation constant changes retroactively for a meter, measurements are not automatically reprocessed, triggering billing adjustment notifications that are sent to the customer information systems. An installation constant is a value that is used to adjust measurements based on certain factors, such as device configuration or installation. When an installation constant changes retroactively for a meter, measurements are not automatically reprocessed, but require manual intervention by using the Reprocess Measurements batch process.
Measurement reprocessing is not executed by users manually, which imports corrected initial measurement data (IMD) records. Measurement reprocessing is executed by MDM automatically or by using batch processes, which reprocess existing measurement data based on certain criteria or events.
NEW QUESTION # 24
Different validation, estimation, and editing (VEE) rules can be applied based on the VEE roles that categorize the source of the measurement data.
Which THREE VEE roles are provided as part of the base product?
- A. Manual override
- B. Estimation
- C. Customer provided
- D. Initial load
- E. Retry
Answer: A,C,D
Explanation:
Explanation
Different validation, estimation, and editing (VEE) rules can be applied based on the VEE roles that categorize the source of the measurement data. A VEE role is an attribute that indicates how measurement data was created or modified. Some of the VEE roles that are provided as part of the base product are:
* Manual override: This is a role that indicates that measurement data was manually entered or edited by a user.
* Initial load: This is a role that indicates that measurement data was loaded from an external source or system.
* Customer provided: This is a role that indicates that measurement data was provided by a customer.
Retry is not a VEE role that is provided as part of the base product. Retry is an action that can be performed on measurement data that has failed VEE rules.
Estimation is not a VEE role that is provided as part of the base product. Estimation is a process that can be performed on measurement data that is missing or invalid by using VEE rules.
NEW QUESTION # 25
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. Keep scalar measurements in the customer read tables to stay consistent.
- 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. Use Information Lifecycle Management (ILM) processes to help archive data.
Answer: C,D,E
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 # 26
When used with the SaaS Cloud services, the Oracle Smart Grid Gateway (SGG) adapters process usage and device event payloads via batch processing. Files are sent from a head-end system (HES) to an Oracle Cloud Object Storage location, where they are batch processed.
Which THREE operations are performed by the SGG processes?
- A. Parse payload into individual usage readings/device events.
- B. Transform usage readings into standard (unified) format.
- C. Load reads into Object Storage.
- D. Invoke IMD/Device Event Seeder (as appropriate).
- E. Load reads into a file directory.
Answer: A,B,D
Explanation:
Explanation
In a SaaS environment, Oracle Utilities Meter Data Management and Smart Grid Gateway are deployed on Oracle Cloud Infrastructure (OCI) and use OCI Object Storage to store files and data. OCI Object Storage is a scalable and secure service that allows users to store and access data from anywhere using REST APIs or web consoles. Smart Grid Gateway adapters process usage and device event payloads via batch processing. Files are sent from a head-end system (HES) to an OCI Object Storage location, where they are batch processed.
According to the Oracle Utilities Smart Grid Gateway User Guide, some operations that are performed by the Smart Grid Gateway processes are:
* Parse payload into individual usage readings/device events. This is an operation that extracts usage readings or device events from the payload file and converts them into individual records.
* Invoke IMD/Device Event Seeder (as appropriate). This is an operation that invokes a web service that sends usage readings or device events to Oracle Utilities Meter Data Management for further processing.
* Transform usage readings into standard (unified) format. This is an operation that converts usage readings from vendor-specific formats into a standard format that can be processed by Oracle Utilities Meter Data Management.
References: Oracle Utilities Smart Grid Gateway User Guide, Chapter 4: Commands, Section 4.4: Command Configuration; Chapter 5: Device Events; Chapter 6: Usage
NEW QUESTION # 27
Which statement is true about usage transaction?
- A. It must be created by an external system and it must be stored in the database.
- B. It is created by an external source or MDM, which uses the usage calculation engine to generate a final value. Valuation, Estimation, and Editing (VEE) can be configured but when called in real time, usage transaction may not be saved.
- C. It is created by an external source or MDM, which uses the usage calculation engine to generate a final value. VEE can be configured and usage transaction is saved.
- D. It is created by an external source or Meter Data Management (MDM), which uses the usage calculation engine to generate usage values.
Answer: C
Explanation:
Explanation
A usage transaction is a record that stores the usage information for a usage subscription. A usage transaction can be created by an external source or MDM, which uses the usage calculation engine to generate a final value. VEE can be configured and usage transaction is saved.
It is not true that a usage transaction is created by an external source or MDM, which uses the usage calculation engine to generate usage values. Usage values are intermediate values that are used to calculate the final value.
It is not true that a usage transaction is created by an external source or MDM, which uses the usage calculation engine to generate a final value. VEE can be configured but when called in real time, usage transaction may not be saved. VEE can be configured and usage transaction is always saved.
It is not true that a usage transaction must be created by an external system and it must be stored in the database. A usage transaction can be created by MDM and it can be deleted from the database.
NEW QUESTION # 28
You want to manage additional Landis + Gyr device events that are not covered by the set of standard device event types provided with Smart Grid Gateway (SGG).
Apart from creating the new device event type "admin data", what else should you do to represent the new standard device events that you want to manage?
- A. Extend the Landis + Gyr device event mapping extendable lookup such that it maps each of the Landis
-f- Gyr specific device event names to the new standard device event names. - B. Set up service providers for each new device event that you want to manage, and specify on each service provider the standard device evert to which it maps.
- C. Create a set of admin data to represent the Landis + Gyr specific device event types, ensuring that for each new device event type, the name of the corresponding standard device event business object is configured in the "Standard Device Event BO Map" characteristic.
- D. Add a record into the External Device Event Mapping table (Dl-E>ODVCEVNTMAP) for each new device event that you want to manage, specifying the standard device event to which it maps.
Answer: A
Explanation:
Explanation
Smart Grid Gateway (SGG) is a product that provides integration between Oracle Utilities Meter Data Management and various head-end systems that communicate with smart meters. SGG supports different types of device events that are sent by smart meters to indicate various conditions or situations, such as outages, tampering, or alarms. SGG provides a set of standard device event types that cover common scenarios across different head-end systems and vendors. However, some head-end systems may have vendor-specific device event types that are not covered by the standard device event types. In order to manage these additional device events, SGG allows users to create new standard device event types and map them to the vendor-specific device event types. According to the Oracle Utilities Smart Grid Gateway User Guide, apart from creating the new standard device event type "admin data", the other step that should be done to represent the new standard device events is:
* Extend the Landis + Gyr device event mapping extendable lookup such that it maps each of the Landis + Gyr specific device event names to the new standard device event names. This will ensure that SGG can recognize and process the vendor-specific device events and map them to the corresponding standard device events.
References: Oracle Utilities Smart Grid Gateway User Guide, Chapter 5: Device Events, Section 5.2: Device Event Types; Section 5.3: Device Event Mapping
NEW QUESTION # 29
A new fast food restaurant is being installed at the center of a university. The restaurant will be metered, but its usage will also be included in the university's master meter.
What should you do to bill the university correctly?
- A. Exclude the restaurant's usage from customer information system (CIS).
- B. Use derivation algorithms to exclude the restaurant's usage from the master meter.
- C. Configure the restaurant's service point on the university's usage subscription to exclude the restaurant's usage.
- D. Set up a virtual meter to exclude the restaurant's usage from the master meter.
Answer: B
Explanation:
Explanation
A virtual meter is a meter that does not physically exist but is used to represent the usage of a group of meters or a portion of a meter. A virtual meter can be used to perform various calculations or adjustments on usage data, such as aggregation, derivation, allocation, or net metering. According to the Oracle Utilities Meter Data Management Business User Guide, to bill the university correctly for a new fast food restaurant that is being installed at the center of the university and whose usage will also be included in the university's master meter, the correct step is:
* Use derivation algorithms to exclude the restaurant's usage from the master meter. This can be done by creating a virtual meter that represents the master meter minus the restaurant's meter and applying a derivation algorithm that subtracts the restaurant's usage from the master meter's usage. The virtual meter's usage can then be used for billing the university.
References: Oracle Utilities Meter Data Management Business User Guide, Chapter 3: Asset Management, Section 3.4: Virtual Meters
NEW QUESTION # 30
Which THREE are derived values?
- A. Value converted from one unit of measurement to another.
- B. Estimated value if the final measurement is too low or high.
- C. Interval data values created by "intervalizing" a scalar reading by applying a profile to it.
- D. Value with a factor such as line loss applied.
- E. Comparison of normal versus actual usage.
Answer: A,C,D
Explanation:
Explanation
Derived values are values that are calculated from raw measurements based on certain rules or factors. Derived values can be used for different purposes, such as billing, analysis, or reporting. Some examples of derived values are:
* Value with a factor such as line loss applied: This is a value that is adjusted by applying a factor that accounts for the loss of energy or water during transmission or distribution. For example, a line loss factor can be applied to a meter reading to calculate the actual amount of energy or water that was delivered to a customer.
* Value converted from one unit of measurement to another: This is a value that is converted from one unit of measurement (UOM) to another based on a conversion factor. For example, a volume reading in cubic feet can be converted to a volume reading in gallons by multiplying it by a conversion factor.
* Interval data values created by "intervalizing" a scalar reading by applying a profile to it: This is a value that is created by dividing a scalar reading into smaller time intervals based on a profile that represents the usage pattern of a customer. For example, a daily scalar reading can be intervalized into hourly readings by applying a load profile that reflects the customer's hourly usage.
Estimated value if the final measurement is too low or high is not a derived value, but an estimated value.
Estimated values are values that are generated when raw measurements are missing or invalid based on certain criteria. Estimated values can be based on historical data, statistical methods, or other sources.
Comparison of normal versus actual usage is not a derived value, but an analysis result. Analysis results are values that are calculated by comparing or aggregating measurements or derived values for different purposes, such as revenue protection, load research, or customer engagement.
NEW QUESTION # 31
If a project is setting up meter commands with a head-end system (HES), which TWO components should you configure to support the inbound responses from HES?
- A. Message sender
- B. Inbound web services
- C. Master configurations
- D. Outbound message type
Answer: A,B
Explanation:
Explanation
Smart Grid Gateway (SGG) is a product that provides integration between Oracle Utilities Meter Data Management and various head-end systems that communicate with smart meters. SGG supports inbound and outbound communication between the two systems using web services and message queues. According to the Oracle Utilities Smart Grid Gateway User Guide, if a project is setting up meter commands with a head-end system (HES), two components that should be configured to support the inbound responses from HES are:
* Inbound web services: These are web services that are exposed by SGG to receive messages from HES.
Inbound web services can be used to receive responses from HES for commands that were sent by SGG or other systems.
* Message sender: This is a component that sends messages from SGG to other systems using message queues. Message sender can be used to send responses from HES to Oracle Utilities Meter Data Management or other systems.
References: Oracle Utilities Smart Grid Gateway User Guide, Chapter 2: Architecture Overview; Chapter 3:
Communication; Chapter 4: Commands
NEW QUESTION # 32
A customer needs to validate high or low tolerances such that exceeding in either direction must not allow the reading to be finalized. In addition, all other validation rules that are configured must be applied to the readings.
Which exception severity should you configure in Validation, Estimation, and Editing (VEE) rules?
- A. Critical
- B. Informational
- C. Issues
- D. Terminate
Answer: A
Explanation:
Explanation
To validate high or low tolerances such that exceeding in either direction must not allow the reading to be finalized, and also apply all other validation rules that are configured, you should configure critical as the exception severity in Validation, Estimation, and Editing (VEE) rules. An exception severity is an attribute that indicates how severe an exception is when a measurement fails a VEE rule. Critical is an exception severity that prevents a measurement from being finalized until it is corrected or overridden by a user.
Issues is not an exception severity that can be configured in VEE rules. Issues is an attribute that indicates if there are any unresolved exceptions or errors for a measurement.
Terminate is not an exception severity that can be configured in VEE rules. Terminate is an action that can be performed by a VEE rule when a measurement fails the rule. Terminate means that the VEE process stops and does not apply any further VEE rules to the measurement.
Informational is not an exception severity that can be configured in VEE rules. Informational is an attribute that indicates if there are any informational messages or warnings for a measurement.
NEW QUESTION # 33
From where is the final measurement condition code created?
- A. Raw condition code
- B. Post-VEE condition code
- C. Pre-VEE condition code
- D. Condition code sent from head-end system (HES)
Answer: B
Explanation:
Explanation
Measurement condition codes are codes that indicate the quality or status of measurement data, such as raw, estimated, edited, validated, or final. Measurement condition codes are assigned at different stages of processing measurement data and can affect how measurement data are used for billing or analysis purposes.
According to the Oracle Utilities Meter Data Management Business User Guide, the final measurement condition code is created from:
* Post-VEE condition code: This is the condition code that is assigned after validation, estimation, and editing (VEE) processing has been performed on measurement data. VEE processing is a set of rules and algorithms that check and correct measurement data for any gaps, errors, or anomalies. The post-VEE condition code reflects the outcome of VEE processing and determines whether measurement data are ready for export or further processing.
References: Oracle Utilities Meter Data Management Business User Guide, Chapter 7: Measurements, Section
7.2: Measurement Condition Codes
NEW QUESTION # 34
Oracle Utilities Meter Data Management (MDM) DataConnect facilitates extraction of data for use in external applications such as energy management systems.
Which TWO can you export in the MDM version of DataConnect?
- A. Usage measurement data
- B. Billing determinants
- C. Service points and install events
- D. Device events
- E. Configuration data
Answer: A,B
Explanation:
Explanation
Oracle Utilities Meter Data Management (MDM) DataConnect is a feature that facilitates extraction of data for use in external applications such as energy management systems. According to the Oracle Utilities Meter Data Management Business User Guide, some examples of data that can be exported in the MDM version of DataConnect are:
* Billing determinants: These are usage data that have been divided into time-of-use periods and applied with factors for billing purposes. Billing determinants can be exported to a billing system or a customer information system for generating bills or invoices.
* Usage measurement data: These are raw or processed interval data that have been recorded by smart meters or other devices. Usage measurement data can be exported to an analytics system or a demand response system for analysis or optimization.
References: Oracle Utilities Meter Data Management Business User Guide, Chapter 9: Communications, Section 9.4: DataConnect
NEW QUESTION # 35
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