IBM C1000-172 Exam - Topic 3 Question 2 Discussion

Actual exam question for IBM's C1000-172 exam

Question #: 2
Topic #: 3

[All C1000-172 Questions]

Which IBM Cloud service can be used to store and analyze data collected to identify the root causes of slowness?

ADatabases for etcd

BDatabases for Redis

CDatabases for Elasticsearch

DCloudant

Show Suggested Answer

Suggested Answer: C

Elasticsearch is a powerful search and analytics engine commonly used to store, search, and analyze large volumes of data in real time. IBM Cloud's 'Databases for Elasticsearch' service is specifically designed for this purpose, allowing users to ingest, search, and analyze log data or other large datasets to identify root causes of slowness or performance issues.

Why Databases for Elasticsearch? Elasticsearch is ideal for storing and analyzing logs due to its ability to quickly index and query large amounts of data. It provides powerful search capabilities, aggregations, and visualization tools that are well-suited for identifying performance bottlenecks and troubleshooting.

Comparison with Other Options:

A (Databases for etcd): Not used for analytics or identifying performance issues.

B (Databases for Redis): Primarily an in-memory data store, not suitable for complex data analysis.

D (Cloudant): A NoSQL database service optimized for web and mobile applications, but not primarily for analyzing log data.

IBM Cloud Databases for Elasticsearch

IBM Cloud Architect Exam Study Guide

by Judy at Sep 12, 2024, 02:17 PM

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Reiko

6 months ago

I'm not so sure about that, I've heard mixed reviews on Cloudant.

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Joanna

6 months ago

Totally agree, Cloudant is super efficient for this!

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Devora

6 months ago

Wait, isn't Elasticsearch better for search-related queries?

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Cornell

7 months ago

Definitely, Cloudant handles large datasets well!

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Aileen

7 months ago

I think Cloudant is the best for analyzing data.

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Billye

7 months ago

I don't think it's Redis or etcd for this use case, but I can't remember why exactly. I need to review those services again.

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Barb

7 months ago

I’m torn between Cloudant and Elasticsearch. I feel like both could potentially help with analyzing data, but I can't recall the specifics.

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Gary

8 months ago

I remember practicing a question about Elasticsearch being used for analyzing logs, so that could be a possibility too.

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Serina

8 months ago

I think it might be Cloudant since it’s designed for handling large amounts of data, but I'm not completely sure.

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Marsha

8 months ago

I'm a bit confused by this question. The options all seem to be related to databases, but I'm not sure how they would specifically help identify root causes of slowness. I might need to do some research on the different IBM Cloud services and their use cases before answering this.

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Pete

8 months ago

Okay, let's see. The question is asking about an IBM Cloud service for storing and analyzing data, and the options mention a few different database services. I'm leaning towards Cloudant since it's a NoSQL database that can handle large amounts of unstructured data, which could be useful for this use case.

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Bettina

8 months ago

Hmm, I'm not too sure about this one. I know IBM has a lot of different cloud services, but I'm not familiar with the specific capabilities of each one. I'll have to think this through carefully.

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Meaghan

8 months ago

This question seems straightforward, I think Cloudant is the IBM Cloud service that can be used to store and analyze data for identifying root causes of slowness.

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Joseph

8 months ago

I think option A sounds right since it mentions using the onchange event for the select menu, which is what we need.

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Scot

2 years ago

Databases for Elasticsearch? What is this, a crossover episode? Stick to Cloudant, it's the obvious choice here.

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Lauryn

2 years ago

Databases for Elasticsearch may seem like a crossover, but Cloudant is the more suitable choice for this scenario.

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Vannessa

2 years ago

I agree, Cloudant is the best option for identifying root causes of slowness.

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Carman

2 years ago

Cloudant is definitely the way to go for storing and analyzing data.

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Benton

2 years ago

Databases for Redis? That's more for caching and in-memory data storage. If I'm looking to identify root causes of slowness, I'd definitely choose Cloudant. It's the perfect fit for this scenario.

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Latanya

2 years ago

Databases for etcd? That's a bit too specific, isn't it? Cloudant seems like the way to go, it's IBM's own NoSQL database service and is built for this kind of use case.

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Tawny

2 years ago

Elasticsearch? Nah, that's more for search and analytics. I'd go with Cloudant, it's designed for handling big data and can easily scale as your data grows.

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Alease

2 years ago

Yeah, Elasticsearch is more for search and analytics, Cloudant is better for identifying root causes of slowness.

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Bronwyn

2 years ago

Cloudant is known for its scalability and performance, making it ideal for analyzing data to find the root causes of slowness.

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Hyun

2 years ago

I think Cloudant would be the best option for this scenario.

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Stephen

2 years ago

Yeah, Cloudant is definitely the way to go for identifying root causes of slowness.

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Cheryl

2 years ago

I agree, Cloudant is great for handling big data and scaling as needed.

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Oretha

2 years ago

I agree, Cloudant is a great choice for storing and analyzing large amounts of data.

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Carey

2 years ago

Cloudant is definitely the way to go for storing and analyzing data.

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Rhea

2 years ago

I think Databases for Redis could also work, it's fast and efficient for data storage.

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Antione

2 years ago

I'm not sure, but Cloudant could also be a good option for storing and analyzing data.

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Mabel

2 years ago

I agree with Amos, Elasticsearch is great for analyzing data.

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Georgene

2 years ago

Hmm, I think Cloudant would be the best choice here. It's a fully-managed NoSQL database service on IBM Cloud, perfect for storing and analyzing data from various sources.

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