Saviynt SCAIP Practice Exam Questions & Answers

In Saviynt EIC, theservice account name generationis controlled through configuration-driven mechanisms to ensure consistency, automation, and compliance with naming standards.

Option A is correct because administrators can define naming conventions at theEndpoint level using the Service Account Name Rule. This allows dynamic generation of account names based on attributes such as application name, environment, or other identifiers, ensuring standardized naming across systems.

Option D is also correct since in many connector-based integrations, theCreate Account JSONconfiguration plays a role in provisioning. The account name can be derived or constructed within this JSON payload based on defined mappings and logic, especially for REST or custom connectors.

Option B is incorrect because service account creation in Saviynt is typically controlled and standardized; manual entry of account names is generally restricted or governed to avoid inconsistencies. Option C is incorrect because Global Configurations do not directly define service account naming rules in standard implementations.

Thus, the correct answers areEndpoint-based naming rules and Connection-level JSON configuration, ensuring automated and consistent service account naming.

In Saviynt--ServiceNow integration using theSaviynt App for ServiceNow, therequest fulfillment location is flexible and depends on how the integration is configured. This is why Option C is correct.

Saviynt supports different integration patterns with ServiceNow. In one model,ServiceNow acts as the front-end request system, while Saviynt handles the fulfillment (provisioning, approvals, and access governance). In another model, ServiceNow can handle certain fulfillment steps depending on how workflows, APIs, and ticketing configurations are defined.

For example, if the integration is configured such that ServiceNow creates a request and passes it to Saviynt, thenSaviynt performs fulfillment. Alternatively, if certain fulfillment logic or orchestration is handled within ServiceNow workflows or ITSM processes, thenServiceNow may drive parts of the fulfillment process.

This flexibility allows organizations to align the integration with their operational model, whether centralized in Saviynt or distributed with ServiceNow. Therefore, fulfillment is not restricted to a single system and is determined byconfiguration and architectural design choices.

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.

In Saviynt EIC, when an account is compromised and requiresimmediate containment, the most appropriate action is tolock the account(Option A). Locking an account ensures that the user is instantly prevented from logging into the target system without removing the account or affecting its underlying configuration. This action is reversible and allows administrators to quickly secure the account while further investigation or remediation steps (such as password reset or access review) are performed.

Option B (Suspend) is typically used for longer-term access revocation scenarios, such as employee leave or inactivity, and may depend on application-specific configurations. Option C (Expire) relates to setting an end date for account validity, which is not suitable for immediate threat mitigation. Option D (Delete) is a permanent and destructive action, generally avoided in incident response because it removes audit trails and complicates recovery.

Therefore, locking the account aligns with Saviynt best practices forincident response and rapid risk mitigation, ensuring security without losing account traceability.

In Saviynt EIC, password management includes configurable notification mechanisms to securely communicate password changes or resets to users. When aHelpdesk performs a password reset, the appropriate configuration to notify the user is through theReset Password notification under Password Policy.

Option C is correct because Saviynt provides a dedicatedReset Password notification templatewithin password policy configurations. This ensures that whenever a password is reset (either by user self-service or by Helpdesk), the system triggers the configured email template to notify the user. This template can include secure messaging and instructions related to the new password or next steps.

Option A is incorrect because the system does not automatically share passwords without proper configuration. Option B applies tochange password scenarios initiated by users, not Helpdesk resets. Option D is not recommended, as User Update Rules are not designed specifically for password notification workflows.

Thus, configuring theReset Password notification under password policyis the correct and secure approach.

In Saviynt EIC,Technical Rulesare essential for automating provisioning, deprovisioning, and enforcing access policies. Following best practices ensures reliability, performance, and governance compliance. Hence,Option D (All of the above)is correct.

Using Advanced Configurations (Option A)allows administrators to implement complex logic, optimize rule execution, and handle sophisticated use cases such as conditional provisioning or attribute-based decisions.

Configuring Retrofit for all rules (Option B)is a recommended practice because it ensures that rules are applied not only to new users but also to existing users. This maintains consistency across the identity repository and prevents access gaps for legacy users.

Including a condition like user.statuskey = 1 (Option C)ensures that rules are applied only to active users. This avoids unnecessary processing for inactive or terminated users and prevents unintended provisioning actions.

Together, these practices improve rule efficiency, reduce errors, and ensure consistent enforcement of identity governance policies across the organization.

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.