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| Certification Vendor: | Saviynt |
|---|---|
| Exam Name: | Saviynt Certified Advanced IGA Professional (Level 200) |
| Exam Number: | SCAIP |
| Passing Score: | 70% or 350/500 |
| Available Languages: | English |
| Real Exam Qty: | 60 |
| Certificate Validity Period: | 2 years |
| Exam Format: | Multiple Choice, Scenario-based |
| Exam Price: | USD 300 |
| Exam Duration: | 120 minutes |
| Related Certifications: | Saviynt Certified IGA Professional (SCIP) |
| Recommended Training: | Saviynt Advanced IGA Training |
| Exam Registration: | Official Registration |
| Sample Questions: | Saviynt SCAIP Sample Questions |
| Exam Way: | Online proctored exam |
| Pre Condition: | Saviynt Certified IGA Professional (SCIP) recommended; 3–6 months hands-on experience with Saviynt IGA; only for Saviynt partners and customers |
| Official Syllabus URL: | https://saviynt.com/certification-saviynt-certified-advanced-iga-professional |
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NEW QUESTION # 61
Which of the following statements are correct? (Multi-Select)
Answer: A,D
Explanation:
Statement A is correct becauseRole Miningin Saviynt analyzes user access patterns and identifies relationships between users who share similar entitlements. These patterns are then used to logically group access into roles, enabling efficient role-based access control (RBAC) implementation and reducing manual effort in role creation.
Statement B is incorrect because apercentage cut-off (e.g., 60%)in role mining means that entitlements common to at least 60% of users are considered for role creation-not 100%. The statement incorrectly interprets how threshold-based mining works.
Statement C is correct since access toDuplicate Identity Management (DIM)features is controlled viaSAV Role configurations. Administrators must grant appropriate permissions within SAV roles to allow users to view and manage duplicate identities in the system.
Statement D is incorrect because DIM supports merging not only user attributes but also associated accounts and access depending on configuration. It is not limited to attributes alone.
Thus, the correct answers areA and C.
NEW QUESTION # 62
What are the filters available to view the SOD violations in the SOD Risk Evaluation Job? (Multi-Select)
Answer: A,B,C
Explanation:
In Saviynt EIC, theSOD (Segregation of Duties) Risk Evaluation Jobis used to identify conflicts in user access that violate defined SOD policies. To efficiently analyze and review these violations, Saviynt provides several filtering options.
Users (A)is a valid filter that allows administrators to view SOD violations specific to individual users or a group of users. This is helpful for targeted investigations or audits.
Security System (B)is also a valid filter, enabling administrators to narrow down violations based on specific applications or systems. This is useful when analyzing risks within a particular application landscape.
Ruleset (C)is another important filter, as SOD violations are evaluated based on predefined rule sets.
Administrators can filter results based on specific rulesets to understand which policies are being violated.
Option D (User Account Evaluation) is not a standard filter in the SOD Risk Evaluation Job. It is more related to job execution scope rather than filtering results.
Thus, the correct answers areUsers, Security System, and Ruleset, which are the primary filters for analyzing SOD violations.
NEW QUESTION # 63
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 # 64
What mandatory connection parameters should be configured in order to reconcile accounts using REST Connector? (Multi-Select)
Answer: A,D
Explanation:
In Saviynt EIC REST connector configuration, account reconciliation (also known as account import or aggregation) requires specific mandatory JSON parameters that define how the system connects to the target application and retrieves account data. The two essential parameters areConnectionJSONandImportAccountEntJSON.
ConnectionJSON (Option A)is mandatory because it contains the core connection details such as base URL, authentication mechanism (OAuth, Basic, etc.), headers, and endpoint configurations. Without this, Saviynt cannot establish communication with the target REST application.
ImportAccountEntJSON (Option B)is also required because it defines the API call used to fetch account (entitlement/account) data from the target system. It includes endpoint URLs, response parsing logic, pagination handling, and mapping rules needed to bring account data into Saviynt.
OptionC (ImportUserJSON)is typically used for identity/user import, not for account reconciliation in REST connectors. OptionD (CreateAccountJSON)is used during provisioning (account creation), not during reconciliation.
Therefore, for account reconciliation using REST connector, the mandatory configurations are ConnectionJSON and ImportAccountEntJSON, as per Saviynt IGA Level 200 connector guidelines.
NEW QUESTION # 65
In Saviynt App for ServiceNow, the manager is submitting a request for his subordinate, who is a valid SNOW user. However, when searching for the user, they are not appearing in the request form. What could be the potential issue?
Answer: D
Explanation:
In Saviynt-ServiceNow integration, user visibility in request forms depends on properidentity correlation between ServiceNow users and Saviynt identities. The most common reason a valid ServiceNow (SNOW) user does not appear in the request form is that theSNOW user record is not linked or mapped to an imported Saviynt user(Option B).
Saviynt relies on its internal identity repository to populate requestable users. Even if a user exists in ServiceNow, they must also exist in Saviynt and be properly correlated (typically via attributes like username, email, or employee ID). Without this linkage, Saviynt cannot recognize the user during request submission, and therefore the user will not appear in the search results.
Option A is incorrect because even if the user already has access, they would still appear in search results (though requests may be restricted). Option C is unrelated to user visibility. Option D is incorrect because lack of an account does not prevent user selection-it only affects provisioning outcomes.
Thus, properuser correlation between SNOW and Saviyntis essential for request visibility.
NEW QUESTION # 66
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