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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Policies, Technical Rules, and Intelligence Analytics | 30% | - Intelligence analytics and identity profile deduplication
|
| Topic 2: EIC Architecture and Administrative Configurations | 20% | - User management and data parsing structures
|
| Topic 3: Access Certifications, Roles, and ARS Management | 25% | - Access attestations and role structure lifecycles
|
| Topic 4: Connectors and Automated Provisioning Ecosystems | 25% | - Advanced network connector architecture implementations
|
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NEW QUESTION # 21
Which of the following scenarios are True to trigger Technical Rule Execution in EIC? (Multi-Select)
Answer: B,C,D
Explanation:
In Saviynt EIC,Technical Rulesare triggered based on lifecycle events related to user creation, updates, and imports, provided the defined conditions evaluate to true. The correct answers areB, C, and D.
Option Bis correct because duringImport Jobs, when users are brought into Saviynt from authoritative sources, Technical Rules are evaluated, and if conditions match, they are executed. This is a common mechanism for provisioning access during onboarding.
Option Cis also correct since when anew user is created via the UI, Technical Rules can be triggered if the user attributes meet the rule conditions. This ensures consistent provisioning regardless of how users are created.
Option Dis correct because when anexisting user is updated, and a User Update Rule is configured tore-run provisioning rules, it can trigger associated Technical Rules again.
Option Ais incorrect because deletion events typically trigger deprovisioning workflows rather than standard Technical Rule execution.
Thus, Technical Rules are triggered during import, creation, and update events-not deletion.
NEW QUESTION # 22
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 # 23
Problem Statement:
Access request approval is not being assigned to the correct approver for a given endpoint.
In this scenario, what configurations will you check? (Multi-Select)
Answer: A,B,C
Explanation:
In Saviynt EIC, approval assignment for access requests is primarily controlled throughworkflow configurations, which are associated either at theendpoint level or security system level. Therefore, the first step in troubleshooting incorrect approver assignment is to validate whether the correct workflow is attached and properly configured at both levels (Options A and C). Workflows define approval logic such as manager, owner, or custom approvers, and misconfiguration here often leads to incorrect routing.
Option B is also correct becausedelegation settingscan override the intended approver. If a delegate is configured for an approver, the request may be routed to the delegate instead of the original approver, causing confusion if not validated.
Option D is incorrect because in Saviynt, approvers are typicallysystem-driven based on workflow rules, not manually selected by the requester in most standard configurations. The requester does not usually control approver assignment unless explicitly customized, making this option irrelevant for standard troubleshooting.
NEW QUESTION # 24
Which of the following statements are correct?
Answer: A,B,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 # 25
In EIC Duplicate Identity Management, what are the different filter options available in Global Configurations? (Multi-Select)
Answer: A,B
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 # 26
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