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Exam Professional Machine Learning Engineer All Questions

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Exam Professional Machine Learning Engineer topic 1 question 26 discussion

Actual exam question from Google's Professional Machine Learning Engineer
Question #: 26
Topic #: 1
[All Professional Machine Learning Engineer Questions]

You are responsible for building a unified analytics environment across a variety of on-premises data marts. Your company is experiencing data quality and security challenges when integrating data across the servers, caused by the use of a wide range of disconnected tools and temporary solutions. You need a fully managed, cloud-native data integration service that will lower the total cost of work and reduce repetitive work. Some members on your team prefer a codeless interface for building Extract, Transform, Load (ETL) process. Which service should you use?

  • A. Dataflow
  • B. Dataprep
  • C. Apache Flink
  • D. Cloud Data Fusion
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Suggested Answer: D 🗳️

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Chosen Answer:
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Highly Voted 3 years, 4 months ago
D. correct. Reference: https://cloud.google.com/data-fusion
upvoted 14 times
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PhilipKoku
Most Recent 4 months, 1 week ago
Selected Answer: D
D) Cloud Data Function
upvoted 1 times
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pinimichele01
6 months ago
Selected Answer: D
codeless interface -> D
upvoted 2 times
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Sum_Sum
11 months, 1 week ago
Selected Answer: D
D is correct
upvoted 1 times
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SamuelTsch
1 year, 3 months ago
Selected Answer: D
I think D is correct.
upvoted 1 times
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M25
1 year, 5 months ago
Selected Answer: D
Went with D
upvoted 1 times
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FDS1993
1 year, 7 months ago
Selected Answer: B
Answer is B
upvoted 1 times
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Fatiy
1 year, 7 months ago
Selected Answer: D
Cloud Data Fusion is a fully managed, cloud-native data integration service provided by Google Cloud Platform. It is designed to simplify the process of building and managing ETL pipelines across a variety of data sources and targets.
upvoted 2 times
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EFIGO
1 year, 10 months ago
Selected Answer: D
"codeless interface" ==> Data Fusion
upvoted 3 times
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GCP72
2 years, 2 months ago
Selected Answer: D
Correct answer is "D"
upvoted 1 times
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capt2101akash
2 years, 2 months ago
Selected Answer: D
D is correct as it is codeless
upvoted 1 times
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Mohamed_Mossad
2 years, 4 months ago
Selected Answer: D
https://cloud.google.com/data-fusion/docs/concepts/overview#using_the_code-free_web_ui
upvoted 1 times
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morgan62
2 years, 6 months ago
Selected Answer: D
D without any doubt
upvoted 2 times
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xiaoF
2 years, 8 months ago
D. Datafusion is more designed for data ingestion from one source to another one, with few transformation. Dataprep is more designed for data preparation (as its name means), data cleaning, new column creation, splitting column. Dataprep also provide insight of the data for helping you in your recipes.
upvoted 3 times
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majejim435
2 years, 11 months ago
D. Dataprep would also work but Data Fusion is better suited. (See https://stackoverflow.com/questions/58175386/can-google-data-fusion-make-the-same-data-cleaning-than-dataprep)
upvoted 2 times
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mousseUwU
2 years, 12 months ago
D is correct Visual point-and-click interface enabling code-free deployment of ETL/ELT data pipelines and Operate high-volumes of data pipelines periodically source: https://cloud.google.com/data-fusion#all-features
upvoted 4 times
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raintree
3 years, 1 month ago
B. Dataprep makes use of Apache beam, which can process streaming and batch, and thus prevent training-serving skew.
upvoted 2 times
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