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Reference: https://cloud.google.com/certification/guides/machine-learning-engineer
For more info read reference:
Professional Machine Learning Engineer - Google Certified salary
The estimated average salary of Professional Machine Learning Engineer - Google is listed below:
- Europe: 97,000 EURO
- England: 87,200 POUND
- United States: 114,000 USD
- India: 8,580,000 INR
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Google Professional Machine Learning Engineer Sample Questions:
You work for a bank and are building a random forest model for fraud detection. You have a dataset that includes transactions, of which 1% are identified as fraudulent. Which data transformation strategy would likely improve the performance of your classifier?
- A. Oversample the fraudulent transaction 10 times.
- B. Modify the target variable using the Box-Cox transformation.
- C. Z-normalize all the numeric features.
- D. Log transform all numeric features.
Correct Answer: A 🗳️
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While conducting an exploratory analysis of a dataset, you discover that categorical feature A has substantial predictive power, but it is sometimes missing. What should you do?
- A. Replace the missing values with the values of the feature with the highest Pearson correlation with feature A.
- B. Compute the mode of feature A and then use it to replace the missing values in feature A.
- C. Drop feature A if more than 15% of values are missing. Otherwise, use feature A as-is.
- D. Add an additional class to categorical feature A for missing values. Create a new binary feature that indicates whether feature A is missing.
Correct Answer: D 🗳️
You are training a Resnet model on AI Platform using TPUs to visually categorize types of defects in automobile engines. You capture the training profile using the Cloud TPU profiler plugin and observe that it is highly input-bound. You want to reduce the bottleneck and speed up your model training process. Which modifications should you make to the tf.data dataset? (Choose two.)
- A. Use the interleave option for reading data.
- B. Set the prefetch option equal to the training batch size.
- C. Decrease the batch size argument in your transformation.
- D. Reduce the value of the repeat parameter.
- E. Increase the buffer size for the shuttle option.
Correct Answer: A,C 🗳️
You built a legal document assistant with Gemini. Each user session repeatedly asks questions about the same 300-page contract, and the contract text is resent with every request. Costs and time-to-first-token are both higher than acceptable. The contract does not change during a session. You need to reduce cost and latency. What should you do?
- A. Lower max_output_tokens so the model returns shorter responses.
- B. Summarize the contract to 5 pages, and send only the summary with each request.
- C. Use context caching so the contract is processed once and reused across requests in the session.
- D. Split the contract into 30 separate requests and merge the responses in the application.
Correct Answer: C 🗳️
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You are training an object detection model using a Cloud TPU v2. Training time is taking longer than expected. Based on this simplified trace obtained with a Cloud TPU profile, what action should you take to decrease training time in a cost-efficient way?
- A. Move from Cloud TPU v2 to Cloud TPU v3 and increase batch size.
- B. Rewrite your input function using parallel reads, parallel processing, and prefetch.
- C. Rewrite your input function to resize and reshape the input images.
- D. Move from Cloud TPU v2 to 8 NVIDIA V100 GPUs and increase batch size.
Correct Answer: B 🗳️
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