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| Section | Objectives |
|---|---|
| Topic 1: SoD (Segregation of Duties) and Risk Management | - SoD Violations and Risk Evaluation - SoD Policy Configuration |
| Topic 2: Integration & Configuration | - Application Onboarding - Connector Configuration (REST, AD, etc.) |
| Topic 3: Account & Entitlement Management | - Account Aggregation and Reconciliation - Entitlement Management |
| Topic 4: Analytics & Reporting | - Saviynt Analytics - Custom Reports and Data Queries |
| Topic 5: Identity Governance & Administration (IGA) Core Concepts | - Saviynt IGA Platform Fundamentals - Identity Lifecycle Management |
| Topic 6: Access Request & Workflow Management | - Workflow Design and Execution - Access Request Service (ARS) |
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NEW QUESTION # 24
Which parameter can be used to manipulate data while importing from the target application in REST Connector?
Answer: C
Explanation:
In Saviynt REST connector configurations, data transformation and manipulation during import (reconciliation) are handled using special keywords or placeholders within JSON mappings. Among the given options,#VALUE#is the correct parameter used to manipulate and transform incoming data from the target application.
The#VALUE#keyword represents the actual value retrieved from the API response and allows administrators to apply transformations such as concatenation, conditional logic, or formatting before storing the data in Saviynt. It is commonly used within accountParams or entitlementParams mappings to ensure that incoming data aligns with Saviynt schema requirements.
OptionA (#nextApiKeyField#)is used for pagination handling in REST APIs, helping to fetch subsequent pages of data, not for manipulation. OptionC (#CHAR#)is not a valid or commonly used parameter in Saviynt REST connectors. OptionD (#CONST#)is used to assign constant/static values but does not manipulate incoming API data dynamically.
Therefore,#VALUE#is the correct parameter used for data manipulation during import in REST connector configurations.
NEW QUESTION # 25
Which of the following statements are correct?
Answer: B,C,D
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 # 26
Which campaign type should be used when managers must review and certify access for their direct reportees?
Answer: D
Explanation:
The correct answer is A. User Manager Campaign . In Saviynt, the User Manager campaign is specifically designed for manager-based certifications, where managers review and certify the access of their direct reportees. Saviynt documentation explicitly states that in a User Manager campaign, managers are responsible for reviewing and certifying the access of users who report to them. That makes this campaign type the best fit when the certification driver is the reporting hierarchy rather than entitlement ownership, role ownership, or service account ownership.
The other options represent different certification ownership models. Entitlement Owner Campaign is meant for entitlement owners, Role Owner Campaign is for role owners, and Service Account Campaign is focused on service account ownership verification and access review. Saviynt also describes campaigns as a way to automatically generate and distribute certifications to the appropriate certifiers based on the selected campaign type and ownership model. Therefore, when the requirement clearly says "managers must review direct reportees," the User Manager campaign is the correct and most aligned selection within Saviynt Level
200 scope.
NEW QUESTION # 27
A target application exposes REST APIs and you need Saviynt to perform imports as well as provisioning and deprovisioning. Which connector approach is the most appropriate?
Answer: C
Explanation:
The correct answer is B. REST Connector . Saviynt documentation explains that REST integration is intended for applications whose data and lifecycle actions are available through REST endpoints. It states that the REST integration enables organizations to gain visibility, manage the user lifecycle, and govern access for data available in the REST application or REST endpoint. That directly matches the question, which requires imports plus provisioning and deprovisioning for an API-driven target system.
Saviynt's REST connector documentation also notes that provisioning and deprovisioning are supported when the connection is configured correctly. This makes the REST connector the standard choice when the target system does not use an out-of-the-box native connector but does provide usable REST APIs. The other options do not fit the requirement. Active Directory Connector is specific to AD use cases, SMTP Configuration is only for email delivery, and Dataset Configuration is an administrative data-structuring feature rather than an application integration method. In Saviynt Level 200 terms, when an application is API- first and lifecycle actions must be automated, the REST connector is the appropriate design decision.
NEW QUESTION # 28
Schema based account import job failed with Schema definition file not found and No SAV file found. Which of the following could be the possible reasons for the same? (Multi-Select)
Answer: B,C
Explanation:
In Saviynt EIC, schema-based account import jobs rely heavily on theSAV file, which acts as the schema definition for interpreting incoming data. The error message"Schema definition file not found and No SAV file found"specifically indicates that Saviynt is unable to locate or process the required SAV file.
Option Ais correct because the SAV file must be placed in the designatedFile Directory # SAV files location.
If the file is missing from this directory, the system cannot read the schema definition, resulting in job failure.
Option Dis also correct because even if the SAV file is present, anincorrectly formatted or corrupted SAV filewill prevent Saviynt from parsing it properly, leading to the same error.
OptionBis incorrect since SAV files are not expected in the Data files directory. OptionCis unrelated to this specific error, as missing CSV files would generate a different error related to missing data, not schema definition.
Thus, the issue is specifically tied to missing or invalid SAV schema files.
NEW QUESTION # 29
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