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Uploaded on Jul 28, 2020
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DUMPSFORSUR
E
Google
Google Cloud Certified Professional Data Engineer
Professional-Data-Engineer
https://www.dumpsforsure.com/google/professional-data-engineer-dumps.html
Question: 1
Your company built a TensorFlow neutral-network model with a large
number of neurons and layers.
The model fits well for the training data. However, when tested against new
data, it performs poorly.
What method can you employ to address this?
A. Threading
B. Serialization
C. Dropout Methods
D. Dimensionality Reduction
Answer: C
https://www.dumpsforsure.com/google/professional-data-engineer-dumps.html
Question: 2
You are building a model to make clothing recommendations. You know a
user’s fashion preference
is likely to change over time, so you build a data pipeline to stream new data
back to the model as it becomes available. How should you use this data to
train the model?
A. Continuously retrain the model on just the new data.
B. Continuously retrain the model on a combination of existing data and the
new data.
C. Train on the existing data while using the new data as your test set.
D. Train on the new data while using the existing data as your test set.
Answer: D
https://www.dumpsforsure.com/google/professional-data-engineer-dumps.html
Question: 3
You create an important report for your large team in Google Data Studio 360. The
report uses
Google BigQuery as its data source. You notice that visualizations are not showing
data that is less than 1 hour old. What should you do?
A. Disable caching by editing the report settings.
B. Disable caching in BigQuery by editing table details.
C. Refresh your browser tab showing the visualizations.
D. Clear your browser history for the past hour then reload the tab showing the
virtualizations.
Answer: A
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