Question 386 of 500

Designing interfaces and user experiences →hardMultiple ChoiceObjective-mapped

Quick Answer

The answer is to cache the timezone result in a user preference or session storage after the first request. This approach directly addresses the core performance issue by eliminating redundant calls to the third-party geolocation API, which was causing the 10-second delay during peak hours. By storing the geolocation data in a user preference, the widget retrieves the cached timezone on subsequent visits instead of re-fetching it, dramatically improving load time while maintaining accuracy since a user’s IP-based timezone rarely changes. On the ServiceNow Certified Application Developer CAD exam, this scenario tests your understanding of caching strategies for widget performance, specifically how to leverage `sys_user_preference` or session storage to avoid expensive server-side processing. A common trap is assuming the CDN or client-side caching alone solves the problem, but the key is persisting the result per user across sessions. Memory tip: “Cache the zone, don’t re-phone home” — store the timezone once to avoid calling the API again.

SNOW-CAD Designing interfaces and user experiences Practice Question

This SNOW-CAD practice question tests your understanding of designing interfaces and user experiences. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.

A large enterprise is implementing a Service Portal for employees to request IT equipment. The portal must be accessible globally, with users in Europe, Asia, and the Americas. The development team has created a custom widget that displays the user's local time based on their location. The widget uses a server script that calls a third-party geolocation API to determine the user's timezone based on their IP address. However, during peak hours, the widget takes over 10 seconds to load, causing poor user experience. The team also notices that the same timezone is fetched repeatedly for the same user across different sessions. The portal uses a CDN for static assets. Which approach should the developer take to reduce the load time while maintaining accuracy?

Question 1hardmultiple choice

Full question →

A
Implement asynchronous loading of the widget so the page loads without waiting for the timezone
Why wrong: Asynchronous loading improves perceived performance but does not reduce server load or API calls.
B
Use client-side JavaScript to detect the timezone from the browser's Intl API instead of server-side API call
Why wrong: This is a better approach, but the option suggests using client-side detection, which is not listed as an option; the developer would need to rewrite the widget.
C
Move the geolocation API call to a business rule that runs once per user
Why wrong: Business rules run server-side on records, not on portal requests; not appropriate.
D
Cache the timezone result in a user preference or session storage after the first request
Caching avoids repeated API calls and significantly reduces load time for subsequent requests.

Full breakdown with real-world context →

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

✓

Cache the timezone result in a user preference or session storage after the first request

Option D is correct because caching the timezone result in a user preference or session storage eliminates redundant API calls for the same user across sessions. This directly reduces load time by avoiding the 10-second geolocation API call on subsequent requests, while maintaining accuracy since the user's IP-based timezone is unlikely to change frequently. In ServiceNow, storing this data in a user preference (e.g., `sys_user_preference`) or session storage ensures persistence without repeated server-side processing.

Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

✗
Implement asynchronous loading of the widget so the page loads without waiting for the timezone
Why it's wrong here
Asynchronous loading improves perceived performance but does not reduce server load or API calls.
✗
Use client-side JavaScript to detect the timezone from the browser's Intl API instead of server-side API call
Why it's wrong here
This is a better approach, but the option suggests using client-side detection, which is not listed as an option; the developer would need to rewrite the widget.
✗
Move the geolocation API call to a business rule that runs once per user
Why it's wrong here
Business rules run server-side on records, not on portal requests; not appropriate.
✓
Cache the timezone result in a user preference or session storage after the first request
Why this is correct
Caching avoids repeated API calls and significantly reduces load time for subsequent requests.
Related concept
Read the scenario before looking for a memorised answer.

Common exam traps

Common exam trap: answer the scenario, not the keyword

ServiceNow often tests the misconception that client-side JavaScript (Intl API) is a drop-in replacement for server-side geolocation, but the trap here is that the Intl API returns the browser's configured timezone, not the user's actual geographic location, which fails the accuracy requirement for a globally accessible portal.

Detailed technical explanation

How to think about this question

ServiceNow user preferences are stored in the `sys_user_preference` table and persist across sessions, making them ideal for caching per-user data like timezone. Session storage (`gs.getSession().putClientData()`) is faster but ephemeral, lasting only until the session expires. The geolocation API call typically uses HTTP GET to a service like ip-api.com, which can take 2–10 seconds under load; caching avoids this latency entirely. In a real-world scenario, a global enterprise with thousands of concurrent users would see significant CDN and server load reduction by caching, as the API call is replaced with a simple database lookup.

KKey Concepts to Remember

Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.

TExam Day Tips

Watch for words such as best, first, most likely and least administrative effort.
Review why wrong options are wrong, not only why the correct option is correct.

Key takeaway

Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Real-world example

How this comes up in practice

A small business has 20 workstations on the 192.168.1.0/24 network and one public IP from its ISP. The router uses PAT (NAT overload) so all 20 devices share one public address using different source ports. NAT questions test whether you understand the four address terms and which direction each translation applies.

What to study next

Got this wrong? Here's your next step.

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

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FAQ

Questions learners often ask

What does this SNOW-CAD question test?

Designing interfaces and user experiences — This question tests Designing interfaces and user experiences — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Cache the timezone result in a user preference or session storage after the first request — Option D is correct because caching the timezone result in a user preference or session storage eliminates redundant API calls for the same user across sessions. This directly reduces load time by avoiding the 10-second geolocation API call on subsequent requests, while maintaining accuracy since the user's IP-based timezone is unlikely to change frequently. In ServiceNow, storing this data in a user preference (e.g., `sys_user_preference`) or session storage ensures persistence without repeated server-side processing.

What should I do if I get this SNOW-CAD question wrong?

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jun 30, 2026

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