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Exam Professional Machine Learning Engineer All Questions

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Exam Professional Machine Learning Engineer topic 1 question 23 discussion

Actual exam question from Google's Professional Machine Learning Engineer
Question #: 23
Topic #: 1
[All Professional Machine Learning Engineer Questions]

Your organization's call center has asked you to develop a model that analyzes customer sentiments in each call. The call center receives over one million calls daily, and data is stored in Cloud Storage. The data collected must not leave the region in which the call originated, and no Personally Identifiable Information (PII) can be stored or analyzed. The data science team has a third-party tool for visualization and access which requires a SQL ANSI-2011 compliant interface. You need to select components for data processing and for analytics. How should the data pipeline be designed?

  • A. 1= Dataflow, 2= BigQuery
  • B. 1 = Pub/Sub, 2= Datastore
  • C. 1 = Dataflow, 2 = Cloud SQL
  • D. 1 = Cloud Function, 2= Cloud SQL
Show Suggested Answer Hide Answer
Suggested Answer: A 🗳️

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Chosen Answer:
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inder0007
Highly Voted 3 years, 4 months ago
The correct answer is A
upvoted 19 times
GogoG
3 years ago
Evidence here https://github.com/GoogleCloudPlatform/dataflow-contact-center-speech-analysis
upvoted 7 times
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salsabilsf
Highly Voted 3 years, 4 months ago
Should be A
upvoted 8 times
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coupet
Most Recent 2 weeks ago
Selected Answer: A
Correct Answer A Dataflow allows you to create data pipelines that read from one or more sources, transform the data, and write it to a destination. BigQuery is designed for large-scale analytics on structured and semi-structured data
upvoted 1 times
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PhilipKoku
4 months, 1 week ago
Selected Answer: A
A) Dataflow & BigQuery (Analytics)
upvoted 2 times
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Sum_Sum
11 months, 1 week ago
Selected Answer: A
A - because it has BigQuery. Almost never would you see an answer that prefers CloudSQL over BQ
upvoted 3 times
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M25
1 year, 5 months ago
Selected Answer: A
Went with A
upvoted 2 times
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MithunDesai
1 year, 10 months ago
Selected Answer: A
correct answer is A
upvoted 1 times
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Moulichintakunta
1 year, 10 months ago
Selected Answer: A
we need a dataflow to process data from cloud storage and data is unstructured and if we want to perform analysis on unstructured with SQL interface BIgQuery is the only option
upvoted 1 times
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EFIGO
1 year, 10 months ago
Selected Answer: A
You need to do analytics, so the answer needs to contain BigQuery and only option A does. Moreover, BigQuery is fine with SQL and Dataflow is the right tool for the processing pipline.
upvoted 1 times
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GCP72
2 years, 2 months ago
Selected Answer: A
Correct answer is "A"
upvoted 1 times
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SUNWS7
2 years, 4 months ago
D - to call API you need Cloud Functions. Dataflow would be for ETL
upvoted 2 times
SUNWS7
2 years, 4 months ago
Sorry incorrect - Dataflow can call external API so stand corrected . Answer : A
upvoted 2 times
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SUNWS7
2 years, 6 months ago
Selected Answer: A
Dataflow & BigQuery
upvoted 2 times
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skipper_com
2 years, 11 months ago
A, https://cloud.google.com/architecture/architecture-for-mlops-using-tfx-kubeflow-pipelines-and-cloud-build Fig.6
upvoted 1 times
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mousseUwU
2 years, 12 months ago
A is correct Dataflow - Unified stream and batch data processing that's serverless, fast, and cost-effective BigQuery - Good for analytics and dashboards
upvoted 3 times
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pddddd
3 years ago
BQ is SQL ANSI-2011 compliant
upvoted 1 times
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Danny2021
3 years, 1 month ago
A or C. Not sure how many third-party tool supports BigQuery. If not, then the answer is C.
upvoted 2 times
David_ml
2 years, 5 months ago
wrong. cloud sql is not for analytics.
upvoted 1 times
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Jijiji
3 years, 1 month ago
it's def A
upvoted 3 times
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A (35%)
C (25%)
B (20%)
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