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Exam Professional Machine Learning Engineer All Questions

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Exam Professional Machine Learning Engineer topic 1 question 1 discussion

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

You are building an ML model to detect anomalies in real-time sensor data. You will use Pub/Sub to handle incoming requests. You want to store the results for analytics and visualization. How should you configure the pipeline?

  • A. 1 = Dataflow, 2 = AI Platform, 3 = BigQuery
  • B. 1 = DataProc, 2 = AutoML, 3 = Cloud Bigtable
  • C. 1 = BigQuery, 2 = AutoML, 3 = Cloud Functions
  • D. 1 = BigQuery, 2 = AI Platform, 3 = Cloud Storage
Show Suggested Answer Hide Answer
Suggested Answer: A 🗳️
by inder0007 at June 2, 2021, 9:45 p.m.

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esuaaaa
Highly Voted 3 years, 5 months ago
Definitely A. Dataflow is must.
upvoted 23 times
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inder0007
Highly Voted 3 years, 5 months ago
Even if I follow the link, it should be dataflow, AI-Platform and Bigquery. Real answer should be A
upvoted 11 times
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jkkim_jt
Most Recent 1 month ago
Selected Answer: A
ChatGPT Prompt: Using Google Pub/Sub Define ML Pipeline for Anomaly Detection ```mermaid graph TD; A[Data Source] -->|Pub/Sub Topic| B[Pub/Sub] B --> C[Dataflow for Preprocessing] C --> D[ML Model Inference (AI Platform)] D -->|Prediction| E[BigQuery / Cloud Storage] D -->|Alert| F[Cloud Functions] ```
upvoted 1 times
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jkkim_jt
1 month ago
ChatGPT Prompt: Using Google Pub/Sub Define ML Pipeline for Anomaly Detection ```mermaid graph TD; A[Data Source] -->|Pub/Sub Topic| B[Pub/Sub] B --> C[Dataflow for Preprocessing] C --> D[ML Model Inference (AI Platform)] D -->|Prediction| E[BigQuery / Cloud Storage] D -->|Alert| F[Cloud Functions] ```
upvoted 1 times
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nktyagi
2 months ago
Selected Answer: A
To preprocess data you will use Dataflow, and then you can use the Vertex AI platform for training and serving. Since it's a recommendation use case, Cloud BigQuery is the recommended NoSQL store to manage this use case storage at scale and reduce latency.
upvoted 2 times
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LeumaS_NoswaY
2 months, 1 week ago
PubSub -> Dataflow -> AI Platform -> BiqQuery
upvoted 1 times
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Yorko
4 months, 2 weeks ago
Selected Answer: A
BigQuery for analytics 100%
upvoted 1 times
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PhilipKoku
5 months, 3 weeks ago
Selected Answer: A
Big Query is ideal for analytics
upvoted 1 times
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RPS007
7 months ago
Selected Answer: A
Verified Answer
upvoted 1 times
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Shreeti_Saha
7 months, 3 weeks ago
Option A
upvoted 1 times
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fragkris
11 months, 4 weeks ago
Selected Answer: A
A - Dataflow is the only correct option for this case.
upvoted 1 times
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RangasamyArran
1 year ago
AutoML is useful for labeled data. So either A or D. Dataflow is must for pipeline so A is correct
upvoted 1 times
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LMDY
1 year, 2 months ago
Selected Answer: A
A. Definitely it's the correct answer
upvoted 1 times
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deepakno
1 year, 2 months ago
This use case similar to anomaly detection also points to A only. https://cloud.google.com/blog/products/data-analytics/anomaly-detection-using-streaming-analytics-and-ai
upvoted 1 times
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sachinbhavar
1 year, 3 months ago
The correct answer is D. 1 = BigQuery, 2 = AI Platform, 3 = Cloud Storage.
upvoted 1 times
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Remi2021
1 year, 4 months ago
right answer i A. Dataflow is a must.
upvoted 1 times
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Puneet2022
1 year, 7 months ago
Selected Answer: A
Dataflow is required
upvoted 1 times
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Community vote distribution
A (35%)
C (25%)
B (20%)
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