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NEW QUESTION # 28
Consider that your primary HR data is stored in Workday, and you want to display the full names of the users by combining their first and last names from Workday. The Identity Repository must reflect any changes made to the user data almost in real time.
Given the above scenario, how can identity data be transformed or normalized before importing into EIC?
Answer: B
Explanation:
In Saviynt EIC, identity data transformation and normalization during ingestion from authoritative sources like Workday are handled at theimport stage, specifically usingIMPORTUSERJSON. This JSON configuration governs how user data is fetched, parsed, and mapped into the Saviynt Identity Repository.
To meet the requirement of combining first name and last name into a full name and ensuring near real-time reflection of updates, aninline preprocessor within IMPORTUSERJSONis used. This allows administrators to apply transformation logic-such as concatenation, formatting, or conditional mapping-directly during the import process before the data is persisted in Saviynt.
OptionA (USERUPDATEJSON)andB (MODIFYUSERDATAJSON)are used for post-import updates or provisioning-related user modifications, not for initial transformation during ingestion. These do not meet the requirement of transforming data before it is stored in the Identity Repository.
OptionDis incorrect because Saviynt explicitly supports inline preprocessors in IMPORTUSERJSON for such use cases.
Thus, configuring an inline preprocessor inIMPORTUSERJSONis the correct and recommended approach for identity data normalization during import.
NEW QUESTION # 29
EIC Admin encounters an error "Connection Name Specified in accountJSON is not found" while running the WSRETRY job. Which JSON needs to be corrected?
Answer: B
Explanation:
The error message"Connection Name Specified in accountJSON is not found"clearly indicates that the issue is related to theaccountJSON configuration, which directly corresponds toImportAccountJSONin Saviynt REST connector terminology. This JSON is responsible for handling account import (reconciliation) operations, including defining the connection name, API endpoints, and parsing logic for retrieving account data.
TheWSRETRY jobis typically used to retry failed web service (REST) operations, especially related to account imports or provisioning failures. Since the error explicitly referencesaccountJSON, it means the system is unable to locate the connection name defined within theImportAccountJSONconfiguration. This usually happens when the connection name is either misspelled, mismatched with the ConnectionJSON configuration, or incorrectly referenced.
Other options are incorrect becauseCreateAccountJSONis used for provisioning (account creation), ImportUserJSONis for identity import, andImportAccountEntJSONis primarily used for entitlement and combined account-entitlement imports.
Therefore, correcting the connection name inImportAccountJSONresolves this issue.
NEW QUESTION # 30
Which among these is NOT a valid parameter under ImportAccountEntJSON in REST connector?
Answer: C
Explanation:
In Saviynt EIC REST connector configuration,ImportAccountEntJSONis used to define how account and entitlement data are imported (reconciled) from a target system. This JSON structure includes several predefined and supported parameters that control how accounts, entitlements, and their ownership relationships are processed.
accountParams (Option C)is a valid parameter and is used to map account-level attributes such as account name, status, and identifiers.entitlementParams (Option B)is also valid and defines how entitlement data (groups, roles, permissions) are fetched and mapped.accountOwnerParams (Option A)is another valid parameter used to define account ownership mapping, helping assign owners to accounts during reconciliation.
However,entOwnerParams (Option D)is NOT a valid parameter in the ImportAccountEntJSON structure. The correct naming convention for entitlement ownership (if applicable) does not use "entOwnerParams" in Saviynt REST connector configuration. Saviynt follows strict parameter naming standards, and incorrect parameter names will not be recognized or processed by the connector.
Thus, Option D is the correct answer, as it represents an invalid configuration parameter in the context of ImportAccountEntJSON.
NEW QUESTION # 31
The EIC administrator has a requirement for integrating EIC with ServiceNow as a ticketing system, where end users should be able to check the status of associated tickets in ServiceNow from EIC. What option can the administrator utilize to fulfill this requirement?
Answer: A
Explanation:
In Saviynt EIC integration with ServiceNow as a ticketing system (ITSM), various JSON configurations are used to define how tickets are created, updated, and tracked. To enable users tocheck the status of tickets from EIC, the correct configuration isTICKETSTATUSJSON.
TICKETSTATUSJSONis specifically used to define how Saviynt retrieves the current status of a ticket from ServiceNow. It maps the API response fields from ServiceNow (such as state, status, or resolution) to Saviynt fields, allowing the system to display real-time ticket status within the EIC interface.
Option A (SYNCTICKETSTATUSJSON) is typically used for synchronization jobs that update ticket statuses in bulk, not for direct user-level status retrieval. Option B (CREATETICKETJSON) is used only for ticket creation, defining how requests are sent to ServiceNow. Option D is incorrect because Saviynt does support ticket status tracking through proper integration configuration.
Thus,TICKETSTATUSJSONis the correct option to enable visibility of ticket status within Saviynt EIC.
NEW QUESTION # 32
In EIC Duplicate Identity Management, what are the different filter options available in Global Configurations? (Multi-Select)
Answer: C,D
Explanation:
In Saviynt EIC'sDuplicate Identity Management (DIM), Global Configurations provide filtering mechanisms to identify potential duplicate identities efficiently. The two primary matching strategies used areCoarse MatchingandFine Matching, which together form the backbone of duplicate detection logic.
Coarse Matching (A)is used as an initial filtering mechanism. It applies broader criteria such as matching on common attributes like first name, last name, or email domain to quickly identify a pool of potential duplicate identities. This helps in reducing the dataset size before applying more detailed checks.
Fine Matching (C)is a more refined and precise comparison that evaluates stricter conditions such as exact matches on email ID, employee ID, or other unique identifiers. This step ensures higher accuracy in identifying true duplicates from the coarse match results.
Option B (Identity Matching) is not a standard configurable filter in DIM Global Configuration, and Option D (Merger Query) relates to post-identification actions rather than filtering criteria.
Thus, the correct answers areCoarse Matching and Fine Matching, which together enable effective duplicate identity detection.
NEW QUESTION # 33
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