PEGACPLSA88V1 Exam Dumps - Certified Pega Lead System Architect (CPLSA) Exam 8.8

Criterion 1: Owns a smart mobile

Engagement Policy Level: Group level

Explanation: The criterion "Owns a smart mobile" applies to all data plans and can be considered a group-level policy. It filters the audience at a broader level to ensure they have a smart mobile device.

Criterion 2:

Under graduation student

Engagement Policy Level: Issue level

Explanation: The criterion "Under graduation student" applies to multiple data plans (1 GB and 3 GB) and is more specific to the issue of targeting educational segments. Thus, it is suitable at the issue level.

Criterion 3:

Post graduation student

Engagement Policy Level: Action level

Explanation: The criterion "Post graduation student" is specific to the 5 GB plan and is most appropriate at the action level. This level ensures the targeting is precise for this particular plan.

New customer

Engagement Policy Level: Group level

Explanation: The criterion "New customer" can be applied across multiple offers and thus is suitable for the group level to broadly target new customers.

Existing customer

Engagement Policy Level: Action level

Explanation: The criterion "Existing customer" is applied at the action level to ensure specific offers (3 GB and 5 GB plans) are appropriately targeted to customers who already have a relationship with the company.

Step by Step Comprehensive Detailed Explanation with References:

Group Level Engagement Policy:

Conditions that apply broadly across multiple offers or groups of offers fall under group-level policies. Examples include owning a smart mobile and being a new customer.

Issue Level Engagement Policy:

Conditions that are relevant to a specific issue, such as educational status for specific data plans, are categorized under issue-level policies. This ensures that offers targeting undergraduates are consistently managed.

Action Level Engagement Policy:

Conditions that are specific to individual actions or offers are best managed at the action level. This includes targeting post-graduation students for the 5 GB plan and existing customers for specific plans to ensure precise targeting.

References: Pega's best practices for engagement policies recommend using group-level policies for broad criteria, issue-level for segment-specific conditions, and action-level for highly specific targeting to ensure effective and relevant customer engagement.

ï‚· Indexing: Adding indexes to columns involved in equality comparisons can significantly improve query performance by reducing the need for full table scans.

ï‚· Implementation: Identify the columns frequently used in WHERE clauses and create indexes for these columns in the database. This optimization reduces query execution time and enhances overall application performance.

References:

Pega Academy: Database Optimization Techniques

Pega Documentation: Indexing Database Tables

ï‚· In Pega, to access a property from an unconnected component within a decision strategy, you use the component-dot-property construct.

ï‚· This construct allows you to reference properties of other components within the strategy, ensuring that all necessary data is accessible for decision-making.

ï‚· Identify the Target Audience: To ensure that the advertisement targets customers in the eastern region, you need to define a specific customer segment that includes customers residing in that area.

ï‚· Customer Segment Configuration: In Pega's Next-Best-Action Designer, customer segments allow you to group customers based on specific attributes, such as location, ensuring that only the relevant audience sees the offer.

ï‚· Implementation: Configure the customer segment by setting the geographic criteria to include customers from the eastern region.

ï‚· Reference: Pega Marketing and Customer Decision Hub documentation emphasize the use of customer segments to personalize and target offers effectively (Pega Customer Decision Hub, Segmentation and Targeting).

ï‚· Offline Support: Pega's mobile app configuration supports offline usage, allowing users to work without an active internet connection.

ï‚· Synchronization: When the device comes online, it synchronizes with the server. During this synchronization process, any new cases created on the device are persisted to the server.

ï‚· Automatic Sync: This ensures that all data captured while offline is properly stored on the server once connectivity is restored.

References:

Pega Academy: Mobile Application Development

Pega Documentation: Offline Support and Synchronization

Continuous integration (CI) is a DevOps practice where developers frequently merge their code changes into a central repository, followed by automated builds and tests. The primary goal is to detect and address integration issues early.

Leveraging release toggles (Answer B):

Explanation: Release toggles (or feature toggles) are a technique to enable or disable features within a software application without deploying new code. This allows teams to integrate new features incrementally and safely, supporting continuous integration and delivery.

Ensuring that new team members adhere to best practices can be achieved through the following methods:

Branch Review: Utilize the branch review feature in Pega, where senior team members can review the contents of the branch. This allows experienced developers to provide feedback and ensure that the new rules meet the required standards.

Branch Quality Review: Regularly review the quality of the branch to identify any rules that have guardrail warnings. Guardrails are best practice guidelines in Pega, and addressing these warnings helps maintain high-quality, robust rules.

References: Pega Platform documentation on branch development and guardrail compliance.