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NEW QUESTION # 22
What is the use of the Show XML option in a workflow?
Answer: B
Explanation:
In Saviynt EIC, workflows are internally represented inXML format, which defines the sequence of approval steps, conditions, and actions. The"Show XML"option is specifically designed to allow administrators toview the underlying XML structure of a workflow. However, this view is provided in aread-only mode, meaning administrators can inspect the configuration but cannot directly modify it from this option.
This feature is particularly useful fordebugging, auditing, and understanding workflow logic, especially in complex approval processes involving multiple steps and conditions. It helps administrators verify how a workflow is constructed without risking accidental changes to the configuration.
Option C is incorrect because editing workflow XML is not typically done directly through the "Show XML" view in Saviynt UI; modifications are handled through workflow configuration screens or controlled import
/export processes. Option A is unrelated since Saviynt workflows are XML-based, not JSON-based. Option B is also incorrect because version history is managed separately and not through the Show XML option.
Thus, the correct purpose of "Show XML" is toview workflow configuration safely in read-only format.
NEW QUESTION # 23
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 # 24
The EIC Administrator observed that all accounts were disabled in Saviynt due to incorrect configuration in the target application. What controls can be implemented in Saviynt to avoid such scenarios?
Answer: A
Explanation:
In Saviynt EIC, mass unintended changes-such as all accounts being disabled due to incorrect target application configuration-can be prevented usingthreshold-based controls. These controls are defined using theSTATUS_THRESHOLD_CONFIGconnection parameter, which acts as a safeguard during reconciliation and provisioning processes.
The correct attribute in this scenario isaccountThresholdValue (Option D). This parameter allows administrators to define a threshold limit for account status changes (such as disablement). If the number or percentage of accounts being disabled exceeds the defined threshold, Saviynt can stop or flag the operation, preventing large-scale unintended impact.
OptionA (accEntThresholdValue)is used for entitlement-level thresholds, not account status changes.
OptionBis incorrect because Saviynt does provide this safeguard mechanism. OptionCis also incorrect since such controls are not managed externally but are part of Saviynt's connector configuration.
By usingaccountThresholdValuewithin STATUS_THRESHOLD_CONFIG, organizations can implement strong governance and prevent bulk account disablement due to misconfigurations or data issues during account import or reconciliation.
NEW QUESTION # 25
An EIC Administrator wants to retrieve a report of users and their assigned SAV Roles. What are the ways in which it can be achieved? (Multi-Select)
Answer: B,C,D
Explanation:
In Saviynt EIC, retrieving reports such as users and their assigned SAV roles can be achieved through multipleanalytics and reporting mechanisms.
Option A is correct because administrators can createAnalytics using SQL queriesand configure them tosend results via email as attachments, which is useful for scheduled reporting and automated distribution.
Option B is also valid since Analytics allows administrators toexport query results into CSV or Excel formats, enabling offline analysis, auditing, and sharing with stakeholders.
Option C is correct becauseData Analyzerprovides a direct interface to execute SQL queries on the Saviynt database, allowing administrators to quickly retrieve required data without creating a formal analytics job.
Option D (Using enhanced query) is not a standard or recognized reporting method within Saviynt for this use case. While advanced queries can be written, "enhanced query" is not a defined feature or module for report extraction.
Thus, the correct answers areA, B, and C, which represent the primary supported methods for reporting in Saviynt.
NEW QUESTION # 26
In EIC Duplicate Identity Management, what are the different filter options available in Global Configurations? (Multi-Select)
Answer: A,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 # 27
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