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Google Exam Professional Data Engineer Topic 5 Question 88 Discussion

Actual exam question for Google's Professional Data Engineer exam
Question #: 88
Topic #: 5
[All Professional Data Engineer Questions]

You use a dataset in BigQuery for analysis. You want to provide third-party companies with access to the same dataset. You need to keep the costs of data sharing low and ensure that the data is current. Which solution should you choose?

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Suggested Answer: D

Dialogflow is a conversational AI platform that allows for easy implementation of chatbots without needing to code. It has built-in integration for both text and voice input via APIs like Cloud Speech-to-Text. Defining intents and entity types allows you to map common queries and keywords to responses. This would provide a low/no-code way to quickly build and iteratively improve the chatbot capabilities.

https://cloud.google.com/dialogflow/docs Dialogflow is a natural language understanding platform that makes it easy to design and integrate a conversational user interface into your mobile app, web application, device, bot, interactive voice response system, and so on. Using Dialogflow, you can provide new and engaging ways for users to interact with your product. Dialogflow can analyze multiple types of input from your customers, including text or audio inputs (like from a phone or voice recording). It can also respond to your customers in a couple of ways, either through text or with synthetic speech.


Contribute your Thoughts:

Glen
6 days ago
Option C is intriguing, but creating a separate dataset just for sharing seems overkill. I'd rather keep everything in one place if possible.
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Claudio
15 days ago
I see both points, but I think option B could also be a good solution to keep costs low.
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Rasheeda
15 days ago
I'm not a fan of Option B. Exporting to Cloud Storage and managing access to the bucket sounds like a hassle. Plus, how do you ensure the data is always up-to-date?
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Deeanna
2 days ago
C) Create a separate dataset in BigQuery that contains the relevant data to share, and provide third-party companies with access to the new dataset.
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Geraldo
4 days ago
A) Create an authorized view on the BigQuery table to control data access, and provide third-party companies with access to that view.
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Garry
16 days ago
I disagree, I believe option D is more efficient as it ensures the data is current.
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Willow
18 days ago
Option A seems like the easiest way to control access and keep the data current. No need to mess with exporting or Dataflow jobs.
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Carol
19 days ago
I think option A is the best choice because it allows us to control data access.
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