Cisco Exam 300-910 Topic 14 Question 89 Discussion

Actual exam question for Cisco's 300-910 exam

Question #: 89
Topic #: 14

Refer to the exhibit.

A distributed application contains data services that connect to databases via JDBC and to other remote services via HTTP. The overall response time is too long, and AppDynamics is used to investigate the root cause. From the application flow map, a specific data service running on Docker has been identified whose response time is over 10 seconds.

Which action resolves the issue?

AChange from a JDBC call to a HTTP call to retrieve data faster

BRun the AccountProfileMySQL service in Kubernetes

CExplore the JDBC queries looking for optimization opportunities

DVerify if the Docker container running MySQL is limiting CPU utilization

Show Suggested Answer

Suggested Answer: C

by Junita at Nov 14, 2024, 07:05 PM

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Gladis

6 months ago

Hold up, is the database running on the same Docker container? That's a recipe for disaster!

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Sheridan

5 months ago

Running the AccountProfileMySQL service in Kubernetes could also help improve response time.

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Julene

5 months ago

Maybe we can also check if the Docker container running MySQL is limiting CPU utilization.

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Micaela

5 months ago

We should definitely explore optimizing the JDBC queries for better performance.

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Bobbye

5 months ago

Agreed, running a database on the same Docker container as the application is not ideal.

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Alexia

6 months ago

This is a classic case of 'if it's slow, make it fast' - I'm going with option C!

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Margart

6 months ago

Docker containers can definitely cause CPU bottlenecks, so verifying that is a good idea.

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Royal

5 months ago

Maybe we should also explore the JDBC queries for optimization.

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Latonia

6 months ago

Let's check the CPU utilization of the Docker container running MySQL.

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Nan

6 months ago

I think exploring the JDBC queries is the way to go. Optimizing the queries should help resolve the issue.

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Selene

6 months ago

Optimizing the queries could potentially reduce the response time significantly.

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Anglea

6 months ago

We should definitely look into the JDBC queries for any optimization opportunities.

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Osvaldo

6 months ago

I agree, optimizing the queries might be the key to improving performance.

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Ciara

6 months ago

Exploring the JDBC queries is a good idea. It could help optimize the response time.

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Pedro

7 months ago

But wouldn't changing from JDBC to HTTP also help retrieve data faster?

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Maira

7 months ago

Hmm, running the service on Kubernetes could help with scalability, but it doesn't address the root cause of the slow response time.

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Alva

5 months ago

C: Verify if the Docker container running MySQL is limiting CPU utilization

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Kris

6 months ago

B: Explore the JDBC queries looking for optimization opportunities

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Thad

6 months ago

A: Change from a JDBC call to a HTTP call to retrieve data faster

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Scot

7 months ago

I agree with Mitsue, optimizing the JDBC queries could improve the response time.

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Mitsue

7 months ago

I think the best option is to explore the JDBC queries for optimization.

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Dominga

7 months ago

The JDBC call is the problem here, we need to optimize those queries to improve the response time.

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Nelida

6 months ago

Agreed, optimizing the JDBC queries could really help improve the response time.

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Lura

7 months ago

C) Explore the JDBC queries looking for optimization opportunities

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Deeann

7 months ago

That's a good point, we should definitely look into optimizing those queries.

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Alona

7 months ago

C) Explore the JDBC queries looking for optimization opportunities

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