Discuss IIBA CBDA Exam Topic 1 Question 6

A financial institution is interested in leveraging analytics to address a recent surge in credit card fraud. The company has decided to invest in streaming analytics to obtain instant access to real-time data to stop fraudulent behavior before it occurs. Which practice will help the financial institution integrate the data as it is collected?

AData quality

BData management

CData security

DData architecture

Suggested Answer: D

Data architecture is the practice of designing and implementing the structures, models, standards, and processes that enable data integration, storage, and consumption. Data architecture is essential for streaming analytics, as it defines how data is collected, processed, and delivered in real time from multiple sources. Data architecture helps the financial institution integrate the data as it is collected by ensuring data compatibility, consistency, and quality across the streaming pipeline. Data architecture also supports data security, scalability, and performance for streaming analytics.Reference:

Certification in Business Data Analytics (IIBA - CBDA), IIBA, accessed on January 20, 2024.

Business Data Analytics Certification - CBDA Competencies | IIBA, IIBA, accessed on January 20, 2024.

Guide to Business Data Analytics, IIBA, 2020, p. 17-18.

What is Streaming Analytics? | Google Cloud, Google Cloud, accessed on January 20, 2024.

What is Data Integration? | IBM, IBM, accessed on January 20, 2024.

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22 comments · newest first

Antione 11 months ago

I disagree, data management is what they really need.

Rhea 11 months ago

Definitely data security, can't risk sensitive info!

Ceola 12 months ago

Surprised they didn't mention data quality! That's crucial too.

Cristy 12 months ago

I think data architecture plays a bigger role here.

Celestine 1 year ago

Data management is key for real-time integration!

Bong 1 year ago

I practiced a similar question where data management was highlighted, so I’m leaning towards that as the best option.

Brittney 1 year ago

Data quality seems important too, but I feel like it’s more about ensuring the data is accurate rather than integrating it.

Latanya 1 year ago

I'm not entirely sure, but I remember something about data architecture being crucial for real-time analytics.

Victor 1 year ago

I think data management might be the key here since it involves organizing and integrating data effectively.

Valentine 1 year ago

I'm a little confused by this question. The answer choices don't seem to directly address the problem of integrating real-time data. I'll need to review my notes on data integration strategies to figure out the best approach here.

Leota 1 year ago

Okay, I've got this. The question is asking about integrating streaming data, so the best practice is going to be data management. That's the one that deals with how the data is organized and processed as it comes in.

Ivette 1 year ago

Hmm, I'm a bit unsure about this one. The question is asking about integrating real-time data, so I'm not sure if data quality, security, or architecture are the most relevant practices here. Data management might be the best option, but I'll need to think it through more.

Elinore 1 year ago

This seems like a straightforward question about data integration. I think the key is to focus on the specific practices mentioned in the answer choices.

Tamala 1 year ago

Hmm, I'm a bit confused by the use of the `print()` function here. I'll need to double-check the syntax and flow of the code.

Linwood 1 year ago

I feel a bit lost with the options. Did we use the variable cost ratio directly to find the carrying cost, or was there another step?

Dylan 1 year ago

This question seems to be testing my understanding of how Oracle manages space within database blocks when using Automatic Segment Space Management. I'll need to carefully review the details of ASSM to determine which statements are true.

Jesusita 2 years ago

That's a good point, Royal. Data quality plays a critical role in making informed decisions based on real-time data.

Royal 2 years ago

I think data quality is also important in this scenario. Ensuring accurate and reliable data is crucial for effective analytics.

Carlee 2 years ago

I see your point, Paulene. Data security is definitely a key factor in preventing fraudulent activities.

Paulene 3 years ago

I'm not so sure. I think data security is equally important to prevent fraud.

Ilene 3 years ago

I agree with you, Jesusita. Data architecture is crucial for integrating real-time data.

Jesusita 3 years ago

I think the answer is D) Data architecture.

IIBA CBDA Exam - Topic 1 Question 6 Discussion