Palo Alto Networks

Pegasystems PEGACPDC74V1 Exam
Certified Pega Decisioning Consultant (CPDC) 74V1 (Page 4 )

Updated On: 9-Feb-2026

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QUESTION: 11

Business rules that determine if a customer is eligible for a particular proposition are also known as ___________.

Contact rules
Hard rules
Soft rules
Marketing rules

Answer(s): A

Reference:

https://pegasystems2.https.internapcdn.net/pegasystems2/marketing/C-762-StudentGuide.pdf

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QUESTION: 12

One of the flow shapes which allows seamless integration of Pega Decision Management with Pega Business
Process Management is ____________.

Subprocess
Run Data Flow
Utility
Decision

Answer(s): D

Reference:

http://smartrules.nl/part-3-more-layers/

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QUESTION: 13

To which types of decisions can Decision Management be applied?

Determining the cause of a customer's problem
Determining why response rates for a campaign in one region are below average
Determining how to retain a customer and what budget we should spend
Determining how to optimize the product portfolio to increase market share

Answer(s): B

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QUESTION: 14

Which decision component is used to arbitrate between propositions?

Prioritize
Adjudication
Arbitration
Decision Table

Answer(s): C

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QUESTION: 15

In a prioritization expression, to balance the customer needs and business objectives you adjust ____________.

customer contact rules
weights and levels
product compatibility rules
product eligibility rules

Answer(s): B

Reference:

https://pegasystems2.https.internapcdn.net/pegasystems2/marketing/C-762-StudentGuide.pdf

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rey Commented on July 26, 2025
usable contents, very helpful
EUROPEAN UNION

rey Commented on July 26, 2025
great questions, reliable
EUROPEAN UNION

Suchi Commented on July 26, 2025
great content
Anonymous

Suchi Commented on July 26, 2025
Great material
Anonymous

mark Commented on July 26, 2025
amazing contents
EUROPEAN UNION

gm Commented on July 26, 2025
Question 123 - False - Reader accounts in Snowflake are designed for accessing and querying data shared by a provider, but they cannot extract that data for use outside of the Snowflake environment. They are primarily used for data consumption within Snowflake.
Anonymous

Atul Commented on July 26, 2025
Answer to Question 55 is A GAN as it is used for the data generation. Option C is not correct.
Anonymous

gm Commented on July 26, 2025
Q109 - False because owned by role not by user
Anonymous

Alex Commented on July 26, 2025
very good questions
ROMANIA

gm Commented on July 26, 2025
91 - Answer should be True AWS PrivateLink can be used to establish a secure, private connection between a customer's on-premise data center (via AWS Direct Connect) and Snowflake. This connection bypasses the public internet, enhancing security and reducing the risk of data exposure.
Anonymous

Amit Commented on July 26, 2025
Detailed and specific - stick to the foundational themes to test your knowledge and you will succeed
Anonymous

mark Commented on July 26, 2025
very informative
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gm Commented on July 26, 2025
Question 77: Answer should be all Bulk copy from an External Stage: This involves using the COPY INTO command to load data from files stored in external cloud storage locations (e.g., Amazon S3, Azure Blob Storage, Google Cloud Storage) into a Snowflake table. Continuous load using Snowpipe REST API: Snowpipe enables continuous data loading from staged files as soon as they become available. The Snowpipe REST API can be used to trigger the loading process for new files in an external stage. The Snowflake Web Interface (UI) data loading wizard: Snowsight, Snowflake's web interface, provides a user-friendly wizard that guides users through the process of loading data into tables, often from local files or staged files. Bulk copy from an Internal Stage: Similar to external stages, data can be bulk loaded from internal stages (storage locations within Snowflake) into tables using the COPY INTO command. Files can be placed in internal stages using commands like PUT.
Anonymous

gm Commented on July 26, 2025
Question 68: Explanation: INSERT: When inserting data into a table, Snowflake usually writes to new partitions, allowing other queries to access the existing data simultaneously. COPY: Similar to INSERT, the COPY command often writes to new partitions, enabling parallel execution with other operations. Why other options are incorrect: UPDATE: This command modifies existing data in a table, which requires locking the affected rows to prevent conflicts. This makes it a blocking operation, meaning other queries that need to access the same rows will have to wait until the UPDATE finishes. MERGE: Like UPDATE, the MERGE command modifies data in a table, requiring locks and thus being a blocking operation. It combines data from multiple sources into a target table, which can involve modifying existing rows.
Anonymous