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NEW QUESTION # 38
In REST connector, under which JSON do you specify the provisioning limit and connection timeout settings?
Answer: B
Explanation:
In Saviynt EIC REST connector configuration,ConnectionJSONis the central configuration block where all connection-level properties are defined. This includes not only the base URL, authentication details, and headers, but also critical operational parameters such asconnection timeout settingsandprovisioning limits (such as throttling or API limits).
Provisioning activities like account creation, update, and deletion rely on stable connectivity to the target system. Therefore, timeout configurations (for example, connection timeout and read timeout) are defined inConnectionJSONto ensure that API calls do not hang indefinitely and can fail gracefully if the target system is unresponsive. Similarly, provisioning limits-such as maximum records processed or API throttling controls-are configured at this level to manage performance and avoid overloading external systems.
OptionA (ConfigJSON)is not a standard JSON used in REST connector configurations. OptionB (MODIFYUSERDATAJSON)is used specifically for user update operations. OptionD (StatusthresholdConfig) relates to job/status handling rather than connection parameters.
Thus, ConnectionJSON is the correct place for configuring provisioning limits and timeout settings in Saviynt REST connectors.
NEW QUESTION # 39
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: D
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 # 40
The EIC administrator must address the email generation issues caused by accent characters in some users' names. What are the potential options to resolve this issue?
Answer: D
Explanation:
In Saviynt EIC, handling special characters such as accents in user attributes (e.g., names used for email generation) is typically addressed usingRules, specificallyUser Update Rules or Technical Rules. Therefore, Option D (Rules)is the correct answer.
Rules allow administrators to apply transformation logic to user attributes during identity processing. For example, accent characters can be normalized or replaced (e.g., converting "e" to "e") before generating email addresses. This ensures that generated emails conform to system or organizational standards and avoid issues with downstream systems that may not support special characters.
Datasets (Option B)are primarily used for data retrieval and reporting, not transformation.Roles (Option C)are related to access control and do not influence attribute formatting.API (Option A)could theoretically be used externally, but it is not the standard or recommended approach within Saviynt for solving this problem.
Thus, Rules provide the most effective and native way to sanitize and standardize user data, ensuring consistent and valid email generation.
NEW QUESTION # 41
Which of the following statements are correct?
Answer: A,B,C
Explanation:
Saviynt'sRole MiningandDuplicate Identity Management (DIM)features are key components of Identity Analytics and Governance.
Option Ais correct because Role Mining analyzes user access patterns and identifies similarities across users.
Based on these similarities, Saviynt suggests logical groupings of entitlements that can be converted into roles, improving role design and governance.
Option Bis also correct. Thepercentage cut-offin Role Mining defines the threshold for common access across users. A higher threshold (e.g., 60% or more) ensures that only frequently shared entitlements are considered.
In practice, this drives mining toward highly consistent access patterns, often close to universally assigned (near 100%), ensuring stronger role accuracy.
Option Cis correct because access to DIM functionality is controlled throughSAV Roles. Administrators must explicitly grant permissions to view and manage duplicate identities.
Option Dis incorrect because DIM not only merges identity attributes but can also consolidate associated access (accounts and entitlements), ensuring a unified identity profile.
NEW QUESTION # 42
What are the different features available under Role Intelligence? (Multi-Select)
Answer: A,C,D
NEW QUESTION # 43
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