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2023 1z0-1091-22 Question Bank Free PDF Download Recently Updated Questions [Q27-Q46]

2023 1z0-1091-22 Question Bank Free PDF Download Recently Updated Questions [Q27-Q46]

August 29, 2023 admin1z0-1091-22, Oracle1z0-1091-22 certification exam infor, 1z0-1091-22 exam cram pdf, 1z0-1091-22 exam dumps demo, 1z0-1091-22 exam topics pdf, 1z0-1091-22 latest exam tips, 1z0-1091-22 latest free study questions, 1z0-1091-22 reliable exam questions explanationsLeave a Comment on 2023 1z0-1091-22 Question Bank Free PDF Download Recently Updated Questions [Q27-Q46]

2023 1z0-1091-22 Question Bank: Free PDF Download Recently Updated Questions

1z0-1091-22 Certification Exam Dumps with 53 Practice Test Questions

Q27. Which TWO Validation, Estimation, and Editing (VEE) rules are typically configured on a project for consumption synchronization processes?

 
 
 
 
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

Q28. How do you calculate the power factor for a bill?

 
 
 
 
Explanation
To calculate the power factor for a bill, you can use the Vector and Quantity Math rule to derive the power factor from the kWh and kVArh channels. The Vector and Quantity Math rule is a usage calculation rule that facilitates the configuration of complex vector calculations. It is based on a series of underlying services with vectors configured as input to the calculations. The power factor is a ratio of real power (kWh) to apparent power (kVAh) that indicates how efficiently a device uses electricity. The power factor can be derived from the kWh and kVArh channels by using a mathematical formula.
You do not need to use a virtual meter to perform the calculations, which is a configuration that defines how measurements from multiple devices or service points are aggregated or disaggregated. A virtual meter is not used to calculate derived values from measurements, but to create new measurements from existing ones.
You do not need to use a measuring component derivation algorithm to calculate the power factor, which is a custom logic that can be developed by using Groovy scripting language or Java programming language. A measuring component derivation algorithm is not used to calculate derived values from measurements, but to create new measuring components from existing ones.
It is not true that power factor can only come from the meter and cannot be calculated. Power factor can be calculated from other measurement channels, such as kWh and kVArh, by using usage calculation rules.

Q29. 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?

 
 
 
 
 
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

Q30. For a Meter Data Management (MDM) implementation, a customer requires specific bill determinants along with bill determinant calculation validations to be executed, before the determinant values are exported to their customer information system (CIS).
Which THREE factors should you consider while configuring usage calculation groups?

 
 
 
 
 
Explanation
Usage calculation groups are used to define how usage data are calculated, validated, and exported for different purposes, such as billing, settlement, or analysis. Usage calculation groups can have different components that specify the logic and parameters for performing various operations on usage data. According to the Oracle Utilities Meter Data Management Business User Guide, some examples of components that can be configured in usage calculation groups are:
* CIS rates: These are rate schedules that are defined in the customer information system (CIS) and imported into Oracle Utilities Meter Data Management. CIS rates can be used to specify which bill determinants or usage calculations should be applied for different rate schedules or customer classes.
* Bill determinants or usage validations: These are rules that check the quality or accuracy of usage data and assign condition codes or flags to indicate any issues or errors. Bill determinants or usage validations can be used to ensurethat usage data meet certain criteria or standards before they are exported to CIS or other systems.
* Bill determinants or usage calculations: These are rules that perform various calculations or adjustments on usage data, such as dividing usage into time-of-use periods, applying factors or multipliers, or deriving net usage. Bill determinants or usage calculations can be used to generate different types of bill determinants for billing purposes.
References: Oracle Utilities Meter Data Management Business User Guide, Chapter 8: Usage, Section 8.2:
Usage Calculation Groups

Q31. 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?

 
 
 
 
 
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

Q32. You need to set up a configuration that allows service points to be used with various meters. This configuration should support interval, time of use, and scalar devices.
How would you meet this requirement?

 
 
 
 
Explanation
A service point is a record that represents a physical location where a utility provides service to a customer. A service point can have one or more devices associated with it to measure the usage of the service. A device is a record that represents a physical meter or other equipment that records usage data. A device can have one or more measuring components associated with it to represent different types of usage data, such as interval, time of use, or scalar. According to the Oracle Utilities Meter Data Management Business User Guide, to set up a configuration that allows service points to be used with various meters and support interval, time of use, and scalar devices, one way to meet this requirement is:
* Configure one service point, one device, and three measuring components to be related to the service point as required by the data scenarios. This can be done by creating a service point record and associating it with a device record that represents the meter. Then, creating three measuring component records that represent different types of usage data (interval, time of use, and scalar) andassociating them with the device record. Depending on the data scenarios, different measuring components can be used to collect and process usage data for the service point.
References: Oracle Utilities Meter Data Management Business User Guide, Chapter 3: Asset Management, Section 3.1: Service Points; Section 3.3: Devices; Section 3.5: Measuring Components

Q33. Which THREE features should you set up in the Cloud Service Payload Processing configuration?

 
 
 
 
Explanation
To set up the Cloud Service Payload Processing configuration, you should perform the following steps:
* File system directory SFTP setup: This is used to configure the secure file transfer protocol (SFTP) settings for transferring files between Oracle Utilities Smart Grid Gateway and Oracle Utilities Meter Data Management. You need to specify the SFTP host name, port number, user name, password, and directory path for inbound and outbound files.
* Key rings and key pairs: This is used to configure the encryption and decryption settings for payload files. You need to create key rings and key pairs for each communication type and associate them with message senders and receivers.
* Object Storage locations: This is used to configure the object storage settings for storing payload files in Oracle Cloud Infrastructure. You need to specify the object storage URL, bucket name, user name, password, and encryption key for each communication type.
You do not need to set up head-end systems (HES), which are external systems that communicate with smart meters and devices. Head-end systems are configured in Oracle Utilities Smart Grid Gateway, not in Oracle Utilities Meter Data Management.

Q34. The interval proxy day estimation Validation, Estimation, and Editing (VEE) rule estimates missing intervals by selecting interval data to average from a list of days that are most like the day being estimated. This is achieved by measuring the component comparison periods.
What is used to define the proxy?

 
 
 
 
Explanation
The interval proxy day estimation VEE rule is a rule that estimates missing intervals by selecting interval data to average from a list of days that are most like the day being estimated. This is achieved by measuring the component comparison periods, which are periods of time that are used to compare different days based on certain criteria. According to the Oracle Utilities Meter Data Management Business User Guide, one factor that is used to define the proxy or the list of days that are most like the day being estimated is:
* Weather data: This is data that indicates the temperature or other weather conditions for a given day.
Weather data can be used to select days that have similar weather patterns or variations as the day being estimated.
References: Oracle Utilities Meter Data Management Business User Guide, Chapter 8: Usage, Section 8.3:
Validation, Estimation, and Editing; Section 8.3.2: Interval Proxy Day Estimation

Q35. Which THREE commands are supported by the Smart Grid Gateway (SGG) adapters?

 
 
 
 
 
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 commands that can be sent to smart meters to perform various actions, such as reading, pinging, connecting, or disconnecting. According to the Oracle Utilities Smart Grid Gateway User Guide, some examples of commands that are supported by the SGG adapters are:
* On-demand reading: This is a command that requests a smart meter to send its current or historical usage data to the head-end system. On-demand reading can be used for billing purposes or for verifying meter readings.
* Ping meter: This is a command that tests the communication between the head-end system and the smart meter. Ping meter can be used for troubleshooting purposes or for checking meter status.
* Connect: This is a command that enables the service at a smart meter. Connect can be used for activating service for a new customer or for restoring service after a payment.
References: Oracle Utilities Smart Grid Gateway User Guide, Chapter 4: Commands, Section 4.1: Command Types

Q36. You want to create Smart Grid Gateway (SGG) Payload Processing extendable lookup values. Which Groovy Library Method would you configure in the User Exit Interceptors section?

 
 
 
 
Explanation
To create Smart Grid Gateway Payload Processing extendable lookup values, you should configure the Events Set Parser and Set Transformer methods in the User Exit Interceptors section. These methods are used to parse and transform event data from payload files into a common format that can be processed by Oracle Utilities Meter Data Management.
You do not need to configure Get Parser and Get Transformer methods, which are used to parse and transform measurement data from payload files. You do not need to configure SOAPSNDR and RTHTTPSNDR methods, which are used to send SOAP or HTTP messages to external systems. You do not need to configure Initial Measurements and Device methods, which are used to initialize measurement data and device information from payload files.

Q37. 3. For a Meter Data Management (MDM) implementation, customer information system (CIS) requires the following bill determinants:
* For scalar meters, scalar consumption values will be sent to CIS.
* For interval meters, billed on time-of-use (TOU) rates, consumption values will be provided based on the specific TOU periods, for example: on-peak, off-peak, and shoulder.
Based on these requirements, which TWO usage subscription or usage calculation group configuration options should you set up to allow an implementation to send bill determinants to CIS?

 
 
 
 
Explanation
To allow an implementation to send bill determinants to CIS based on the requirements, you should set up the following usage subscription or usage calculation group configuration options:
* Scalar usage calculation rule with a valid usage group: This defines how scalar consumption values are calculated from measurements and sent to CIS. You can define scalar usage calculation rules for different measurement types and associate them with usage groups. A usage group is a collection of usage calculation rules that are applied to measurements based on certain criteria3.
* TOU usage rule with a valid usage group: This defines how TOU consumption values are calculated from measurements and sent to CIS based on specific TOU periods. You can define TOU usage rules for different measurement types and associate them with usage groups. A usage group is a collection of usage calculation rules that are applied to measurements based on certain criteria3.
You do not need to set up scalar specific group as a fallback VEE group or TOU usage group as a fallback VEE group. A fallback VEE group is used when there is no matching VEE group for a measurement based on its characteristics. A VEE group is a collection of VEE rules that are applied to measurements to validate, estimate, and edit them

Q38. Time-of-use (TOU) maps can be used by various functions in Meter Data Management (MDM). Which of the following is a typical scenario in which TOU maps are applied?

 
 
 
 
Explanation
Time-of-use (TOU) maps can be used by various functions in Meter Data Management (MDM). A TOU map is a configuration that defines how interval measurements are converted into scalar measurements based on different TOU periods. A typical scenario in which TOU maps are applied is to usage transactions and final measurements for billing and analytical purposes. A usage transaction is a record that stores the bill determinants and other usage information for a usage subscription. A final measurement is a record that stores the measurement data that has been validated, edited, and estimated. TOU maps can be applied to usage transactions and final measurements to calculate bill determinants or perform analysis based on different TOU periods.
TOU maps are not applied to initial measurement data (IMD) records for creating summarized TOU final measurements. IMD records are records that store the raw measurement data that is received from smart meter systems or other sources. IMD records are not converted into final measurements by using TOU maps, but by using VEE rules.
TOU maps are not used to determine the time a user worked on an incorrect measurement, which is a function that is performed by using audit trails or logs. TOU maps are not used to map usage data with geospatial applications, which is a function that is performed by using location data or coordinates.

Q39. Which THREE are best practices for measurement retention?

 
 
 
 
 
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.

Q40. Which TWO statements are true about the Measurement Reprocessing functional?

 
 
 
 
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.

Q41. What are the THREE uses of the Smart Grid Gateway (SGG)?

 
 
 
 
 
Explanation
The Smart Grid Gateway (SGG) is a middleware component that provides integration between Oracle Utilities Meter Data Management and smart meter systems. The SGG has three main uses:
* Sharing event information with downstream systems: The SGG can process events from smart meter systems and send them to downstream systems, such as customer information systems (CIS), outage management systems (OMS), ordistribution management systems (DMS). Events are occurrences that happen on devices or networks, such as tampering, low battery, or power outage.
* Connecting to Smart Meter systems: The SGG can communicate with smart meter systems using various protocols and adapters. The SGG can support multiple smart meter systems simultaneously and provide a common interface for Oracle Utilities Meter Data Management.
* Sharing outage information with outage management systems: The SGG can process outage events from smart meter systems and send them to outage management systems for analysis and restoration. Outage events are events that indicate a loss or restoration of power on a device or network.
The SGG does not share customer information or communicate directly with meters. Customer information is managed by Oracle Utilities Customer Cloud Service or Oracle Utilities Customer Care and Billing.
Communication with meters is handled by smart meter systems that connect to the SGG.

Q42. 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?

 
 
 
 
 
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

Q43. A small building with five metered apartments has common areas used by all residents. The common areas are metered separately, and the common usage needs to be spread evenly across residents.
How should you configure the solution to bill each resident accurately?

 
 
 
 
Explanation
To configure the solution to bill each resident accurately for a small building with five metered apartments and common areas, you should set up a virtual meter to include the apartment usage and 20% of the common areas. A virtual meter is a configuration that defines how measurements from multiple devices or service points are aggregated or disaggregated. A virtual meter can be used to create new measurements from existing ones based on certain rules or factors. By setting up a virtual meter to include the apartment usage and 20% of the common areas, you can ensure that each resident is billed for their own usage and their share of the common usage.
You do not need to set up each apartment’s usage subscriptions to have two service points, one for the apartment and one for 20% of the common areas. A usage subscription is a relationship that defines the external system or service provider that will receive the bill determinants, the usage calculation group that will be used to calculate the bill determinants, and the service points that will provide the measurement data for the bill determinants. A usage subscription can have only one service point, not two.
You do not need to calculate the usage for each apartment by using customer information system (CIS), which is an external system that manages customer accounts and billing information. CIS does not calculate usage for each apartment, but receives bill determinants from MDM.
You do not need to use a derivation algorithm to include 20% of the common areas with the apartment accounts, which is a custom logic that can be developed by using Groovy scripting language or Java programming language. A derivation algorithm is not used to create new measurements from existing ones, but to create new measuring components from existing ones.

Q44. Which THREE are derived values?

 
 
 
 
 
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.

Q45. Which relationship must be established with an external system or a service provider before creating bill determinants in Meter Data Management (MDM)?

 
 
 
 
Explanation
A usage subscription is a relationship that must be established with an external system or a service provider before creating bill determinants in Meter Data Management (MDM). A usage subscription defines the external system or service provider that will receive the bill determinants, the usage calculation group that will be used to calculate the bill determinants, and the service points that will provide the measurement data for the bill determinants.
You do not need to establish a usage factor, a usage transaction, or a usage rule with an external system or a service provider before creating bill determinants. A usage factor is a value that is used to adjust or convert measurements based on certain criteria. A usage transaction is a record that stores the bill determinants and other usage information for a usage subscription. A usage rule is a rule that is used to calculate, validate, or estimate bill determinants based on certain criteria.

Q46. Which statement is true about usage transaction?

 
 
 
 
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.

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