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| Section | Objectives |
|---|---|
| Topic 1: User Interface and PCF Configuration | - Configure Page Configuration Format (PCF) components and layouts
|
| Topic 2: Gosu Rules and Programming Logic | - Implement business logic and rule sets using the Gosu programming language
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| Topic 3: Developing in the Cloud and Best Practices | - Align software modifications with Guidewire Cloud implementation standards
|
| Topic 4: Data Model and Metadata Structures | - Define and extend the application business objects schema
|
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NEW QUESTION # 103
What is a benefit of archiving?
Answer: D
Explanation:
Archiving is a vital strategy for long-term System Health and Quality within Guidewire InsuranceSuite, particularly for high-volume customers. As an application matures, the database accumulates a massive amount of " closed " or " historical " data (e.g., claims that were settled years ago or expired policies).
The primary benefit of archiving is that it improves application performance by moving this historical data out of the " active " operational database and into a secondary, long-term storage location (the Archive Store).
When the size of the active database is reduced, several performance gains are realized:
* Faster Queries: Database indexes become smaller and more efficient, leading to faster search and retrieval times for active claims and policies.
* Efficient Maintenance: Operations such as backups, index rebuilding, and database consistency checks run significantly faster on a leaner dataset.
* Reduced Resource Contention: With fewer rows for the database engine to manage, there is less strain on memory (buffer cache) and CPU.
It is important to distinguish archiving from Purging (Option B). Archiving preserves the data so it can be retrieved later if needed, whereas purging permanently deletes it. Archiving also differs from simple compression (Option D) or re-indexing (Option A), as it physically changes the location of the data to keep the primary production environment optimized for current business operations. This is a core concept in the Developing in the Cloud curriculum, where maintaining a performant SaaS environment is essential.
NEW QUESTION # 104
Given the following code example:
var query = gw.api.database.Query.make(Claim)
query.compare(Claim#ClaimNumber, Equals, " 123-45-6798 " )
var claim = query.select().AtMostOneRow
According to best practices, which logic returns notes with the topic of denial and filters on the database?
Answer: B
Explanation:
Efficiency in Guidewire performance relies heavily on the " Database-First " principle. To fulfill the requirement of filtering notes by both Claim and Topic specifically on the database, a new query must be constructed using the Query API.
Option C is the only correct answer because it uses the .compare() method to apply two specific filters:
* Topic Filter: It filters for the specific typecode TC_DENIAL.
* Claim Filter: It links the query to the specific claim object found in the previous step.
By setting these parameters before calling .select(), Guidewire generates a single SQL statement: SELECT * FROM cc_note WHERE topic = ' denial ' AND claimid = .... The database performs the heavy lifting and returns only the relevant records.
Options A and B are anti-patterns. They fetch all notes (Option B) or execute a broad query (Option A) and then use the Gosu .where() method to filter in the application server ' s memory. This is highly inefficient.
Option D is incomplete as it would return every denial note in the entire system, regardless of which claim it belongs to.
NEW QUESTION # 105
An InsuranceSuite implementation project is preparing for deployment to the Guidewire Cloud Platform.
Which two Cloud Delivery Standards must be met before deployment? (Select two)
Answer: A,D
Explanation:
Moving to theGuidewire Cloud Platform (GWCP)introduces a set of mandatory "Cloud Delivery Standards" designed to ensure that customer implementations are secure, upgradeable, and performant. Two of the most critical pillars in these standards areMetadata Naming ConventionsandData Privacy/Security.
First, naming conventions (Option D) are essential for maintaining the "Upgrade-Safe" nature of the cloud. In Guidewire Cloud, the base product is updated frequently. To prevent custom metadata (new entities or columns) from conflicting with future Guidewire base product releases, all extensions must use a unique customer suffix. While the standard example is _Ext, insurers often use their specific company initials, such as _Si for Succeed Insurance. This ensures that the custom data model remains distinct from the gw namespace.
Second, theObservabilityandSecuritystandards strictly forbid the logging ofPersonally Identifiable Information (PII)in plain text (Option E). In the cloud, logs are aggregated and viewed via tools like CloudWatch or Kibana. If sensitive data like Social Security Numbers, Credit Card numbers, or personal addresses are logged as clear text, it constitutes a major security risk and a violation of compliance standards like GDPR or SOC2. Guidewire's automatedQuality Gateswill often block a deployment if it detects potential PII leakage in the Gosu logging code.
Options A and B are general development practices but not the primary delivery standards that block deployment. Option C is actually a security risk; hardcoding the "su" (Super User) in bundle management is generally discouraged in favor of more granular permission handling.
NEW QUESTION # 106
What type of Assessment Check ensures that applications have monitoring and logging frameworks in place?
Answer: A
Explanation:
In theGuidewire Cloud Platform (GWCP)ecosystem, all customer implementations must pass through a series ofCloud Assurance Assessment Checks. These checks are designed to ensure that the configuration is not only functional but also maintainable and stable within a shared cloud infrastructure.
TheOperations Assessment Check(Option D) is specifically focused on the "health and observability" of the production application. According to theDeveloping with Guidewire Cloudtraining, this check verifies that the developer has implemented proper monitoring hooks and logging frameworks. This includes ensuring that logs are structured (to be easily parsed by tools like Datadog or Splunk), that appropriate log levels are used (avoiding "noisy" production logs), and that critical system events are captured to allow the Guidewire Cloud Operations team to proactively manage the environment.
WhilePerformancechecks (Option A) focus on latency andSecuritychecks (Option C) focus on PII protection, theOperationscheck ensures that when a failure occurs, the system provides enough telemetry for
"Day 2" support. Without these frameworks in place, an application is considered "un-managed," which poses a significant risk to the insurer's service level agreements (SLAs).
NEW QUESTION # 107
Which log message output follows best practices in production?
Answer: C
Explanation:
Effective logging in a production environment is critical for troubleshooting, but it must be balanced with strict adherence to Security and Privacy standards. Guidewire best practices for Gosu Logging emphasize two main pillars: the exclusion of sensitive information and the inclusion of structured context.
Option A is the correct implementation because it provides " traceability " without compromising security. By including the method name (RenewalProcess#issueNow) and a unique identifier (JobNumber=00005678), a developer or system administrator can easily search through logs to identify exactly which process failed or succeeded for a specific transaction. It avoids any Personally Identifiable Information (PII).
In contrast, Option B violates PCI-DSS compliance by logging a full credit card number. Option C violates privacy standards by logging PII, such as a customer ' s phone number and physical address. Logging such data can lead to legal liabilities and security breaches. Option D, while urgent, lacks the technical structure needed for automated monitoring tools to act effectively. Production logs should ideally follow a consistent pattern that allows tools like Datadog or Splunk to parse them into key-value pairs. By using the format seen in Option A, the system creates a high-quality audit trail that facilitates rapid debugging and performance monitoring without exposing the insurer to data privacy risks.
NEW QUESTION # 108
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