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Saviynt SCAIP Exam Overview:

Certification Vendor:Saviynt
Exam Name:Saviynt Certified Advanced IGA Professional (Level 200)
Exam Number:SCAIP
Exam Duration:120 minutes
Real Exam Qty:60
Available Languages:English
Related Certifications:Saviynt Certified IGA Professional (SCIP)
Exam Price:Contact Saviynt Sales (pricing not publicly listed)
Certificate Validity Period:2 years
Passing Score:Not publicly disclosed
Exam Format:Scenario-based questions, Multiple response, Multiple choice
Recommended Training:Advanced IGA Professional Exam Preparation Guide
Saviynt IGA Level 200 Training
Exam Registration:Official Saviynt Certification Page
Saviynt University Portal
Sample Questions:Saviynt SCAIP Sample Questions
Exam Way:Online proctored exam
Pre Condition:Recommended 3–6 months hands-on experience with Saviynt IGA. Completion of Saviynt IGA Level 200 training is strongly recommended.
Official Syllabus URL:https://saviynt.com/certification-saviynt-certified-advanced-iga-professional

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Saviynt SCAIP Exam Syllabus Topics:

TopicDetails
Topic 1
  • Access Request System: This section focuses on configuring and managing the end-to-end access request process, including workflows, approvals, and provisioning for both connected and disconnected applications.
Topic 2
  • Building Identity Warehouse: This section covers setting up the foundation of Saviynt by importing users, onboarding applications, and managing roles and access within the identity warehouse.
Topic 3
  • Analytics: This section focuses on building, configuring, and delivering reports, analytic controls, and dashboards to support data-driven identity governance decisions.
Topic 4
  • Rules Engineering: This section covers creating and managing automated access policies and rules that handle joiner, mover, and leaver scenarios through technical and user update rules.

Saviynt Certified Advanced IGA Professional (Level 200) Sample Questions (Q60-Q65):

NEW QUESTION # 60
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 # 61
During a User Import, to define the maximum number of records to be processed in each page, specify the value of the MAX_PAGINATION_SIZE parameter. If this value is not defined, what is the default value?

Answer: B

Explanation:
In Saviynt EIC REST connector configurations, pagination is a critical mechanism used duringuser import (identity reconciliation)to efficiently process large datasets from target systems. The parameterMAX_PAGINATION_SIZEdetermines how many records are fetched and processed per API call (per page).
IfMAX_PAGINATION_SIZEis not explicitly defined, Saviynt uses adefault value of 1000 records per page.
This default is designed to balance performance and system stability. Fetching too many records in a single API call can lead to performance bottlenecks, API timeouts, or memory issues, while too few records can increase the number of API calls and slow down the overall import process.
OptionA (50000)andC (10000)are incorrect because these values are typically too large for default settings and must be explicitly configured if required. OptionBis incorrect because Saviynt does provide a default fallback value rather than leaving it undefined.
Therefore, when MAX_PAGINATION_SIZE is not specified, Saviynt defaults to1000, ensuring efficient and stable data import operations.


NEW QUESTION # 62
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: B

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 # 63
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 # 64
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 # 65
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