IBM Exam C1000-172 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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Scot

1 months ago

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

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Lauryn

11 days ago

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

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Vannessa

16 days ago

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

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Carman

17 days ago

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

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Benton

1 months 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

1 months 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

1 months 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

12 days ago

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

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Bronwyn

17 days 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

20 days ago

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

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Stephen

21 days ago

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

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Cheryl

22 days ago

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

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Oretha

1 months ago

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

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Carey

1 months ago

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

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Rhea

2 months ago

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

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Antione

2 months ago

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

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Mabel

2 months ago

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

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Georgene

2 months 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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Willard

1 months ago

I think Databases for Elasticsearch could also be a good choice for identifying root causes of slowness.

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Rocco

2 months ago

I agree, Cloudant is a great option for storing and analyzing data.

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Amos

2 months ago

I think the answer is C) Databases for Elasticsearch.

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