매달, 우리는 1000명 이상의 사람들이 시험 준비를 잘하고 시험을 잘 통과할 수 있도록 도와줍니다.
Certified Pega System Architect 24 온라인 연습
최종 업데이트 시간: 2025년06월18일
당신은 온라인 연습 문제를 통해 Pegasystems PEGACPSA24V1 시험지식에 대해 자신이 어떻게 알고 있는지 파악한 후 시험 참가 신청 여부를 결정할 수 있다.
시험을 100% 합격하고 시험 준비 시간을 35% 절약하기를 바라며 PEGACPSA24V1 덤프 (최신 실제 시험 문제)를 사용 선택하여 현재 최신 320개의 시험 문제와 답을 포함하십시오.
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Explanation:
A Data Transform sets default values for case properties during creation or transitions. This ensures consistent data initialization without manual input. It is commonly used in defaulting customer preferences, assigning case priorities, or initializing date fields. Data Transforms enhance automation and reduce errors.
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Explanation:
A Many-to-Many relationship allows multiple data objects to be linked across multiple cases. For example, multiple employees can be assigned to multiple projects. This setup ensures efficient data sharing and avoids redundant entries. It is commonly used in resource management and product cataloging.
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Explanation:
A Data Page retrieves external data on demand without storing it in the case. This ensures that applications always access the most recent data from external sources, such as databases or web services. It improves efficiency by reducing unnecessary data duplication. Data Pages enhance application performance and accuracy.
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Explanation:
A Value List stores multiple ordered values, such as a list of product codes. A Value Group stores multiple unordered values, useful for categorizing email addresses (work, personal, other). These properties store flexible collections without predefined relationships. They improve data organization in case processing.
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Explanation:
A Decimal field stores numeric values with decimal precision, making it ideal for financial calculations like currency, tax rates, and measurements. Unlike Integer, it supports fractions, ensuring accurate computations. It is essential in pricing, interest calculations, and scientific measurements. Decimal fields prevent rounding errors.
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Explanation:
A Declare Expression ensures that dependent fields update dynamically whenever their source values change. This avoids manual updates and ensures real-time consistency. It is commonly used for tax calculations, discount percentages, and total price computations. Declare Expressions improve data accuracy and reduce errors.
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Explanation:
A Declare Expression ensures that calculated values update dynamically whenever their dependent values change. This eliminates the need for manual updates, reducing errors in data processing. It is commonly used in automated pricing models and real-time analytics. Declare Expressions improve automation and data integrity.
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Explanation:
An Expression field dynamically computes values based on business rules or formulas. Decimal fields store numeric calculations, making them useful for financial applications. These field types ensure that computed values remain updated. They are commonly used in pricing, tax calculations, and discounts.
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Explanation:
A Data Table is used to store reference data, such as country codes or product lists, that do not frequently change. This allows fast lookups without requiring repeated queries to external systems. Data Tables improve application efficiency by reducing system calls. They support read-heavy workloads efficiently.
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Explanation:
A Value List stores a collection of related single values (e.g., a list of phone numbers). A Value Group stores unordered collections, such as multiple email addresses for different categories. These property types allow efficient storage and retrieval of multiple related values. They improve case data organization and accessibility.
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Explanation:
A Data Transform sets default property values when a case is created, ensuring proper initialization. This technique is useful for pre-filling forms, setting case priorities, or applying user preferences. It improves efficiency by reducing manual data entry. Data Transforms enhance automation in case management.
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Explanation:
A Connector integrates with external systems to retrieve real-time data when needed. It allows Pega to interact with web services, REST APIs, and databases. This ensures that applications use the most up-to-date information. Connectors improve system interoperability and data accuracy.
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Explanation:
A Page List stores multiple instances of a related data object inside a case. For example, a purchase order may contain a list of items, each with its details. This structure enables complex data modeling and improves process automation. It supports One-to-Many relationships in case processing.
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Explanation:
Reload once per interaction ensures that data is dynamically updated every time the Data Page is accessed. This is essential for displaying real-time information such as stock availability or customer status. Frequent refreshes provide up-to-date data but can impact performance. Selecting the right strategy balances accuracy and efficiency.
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Explanation:
One-to-One relationships are used when a single instance of data relates to another single instance (e.g., an address in a profile). One-to-Many relationships allow a single object to contain multiple related records (e.g., multiple phone numbers for a contact). These relationships ensure structured data management.