Independence Day Deal! Unlock 25% OFF Today – Limited-Time Offer - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions

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?

Show Suggested Answer Hide Answer
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:

Sherman
1 months ago
Option A: The authorized view. It's like a bouncer for your data - keeps the riff-raff out while letting the VIPs in. Simple and elegant, like a well-tailored suit.
upvoted 0 times
Heike
11 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.
upvoted 0 times
...
...
Rasheeda
1 months ago
Option D with Dataflow sounds like the most complex solution, but it could be the most robust. Automatic data refreshes and the ability to write to different destinations? Sign me up!
upvoted 0 times
Amie
1 days ago
Using Cloud Scheduler to export data regularly to Cloud Storage might be a cost-effective way to provide access to the dataset for third-party companies.
upvoted 0 times
...
Tawny
4 days ago
I think creating an authorized view on the BigQuery table could be a simpler solution to control data access for third-party companies.
upvoted 0 times
...
Glynda
1 months ago
Option D with Dataflow sounds like the most complex solution, but it could be the most robust. Automatic data refreshes and the ability to write to different destinations? Sign me up!
upvoted 0 times
...
...
Glen
2 months 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.
upvoted 0 times
Flo
4 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.
upvoted 0 times
...
Cecil
11 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.
upvoted 0 times
...
Celestine
1 months ago
B) Use Cloud Scheduler to export the data on a regular basis to Cloud Storage, and provide third-party companies with access to the bucket.
upvoted 0 times
...
Nickolas
1 months ago
A) Create an authorized view on the BigQuery table to control data access, and provide third-party companies with access to that view.
upvoted 0 times
...
...
Claudio
2 months ago
I see both points, but I think option B could also be a good solution to keep costs low.
upvoted 0 times
...
Rasheeda
2 months 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?
upvoted 0 times
Craig
29 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.
upvoted 0 times
...
Shawna
1 months ago
A) Create an authorized view on the BigQuery table to control data access, and provide third-party companies with access to that view.
upvoted 0 times
...
Trinidad
2 months ago
D) Create a Cloud Dataflow job that reads the data in frequent time intervals, and writes it to the relevant BigQuery dataset or Cloud Storage bucket for third-party companies to use.
upvoted 0 times
...
Renea
2 months ago
I agree, Option A or C would be better. It's easier to manage access and ensure the data is current.
upvoted 0 times
...
Deeanna
2 months 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.
upvoted 0 times
...
Geraldo
2 months ago
A) Create an authorized view on the BigQuery table to control data access, and provide third-party companies with access to that view.
upvoted 0 times
...
...
Garry
2 months ago
I disagree, I believe option D is more efficient as it ensures the data is current.
upvoted 0 times
...
Willow
2 months 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.
upvoted 0 times
...
Carol
2 months ago
I think option A is the best choice because it allows us to control data access.
upvoted 0 times
...

Save Cancel
az-700  pass4success  az-104  200-301  200-201  cissp  350-401  350-201  350-501  350-601  350-801  350-901  az-720  az-305  pl-300  

Warning: Cannot modify header information - headers already sent by (output started at /pass.php:70) in /pass.php on line 77