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Google Certified Professional Data Engineer Exam Sample Questions (Q200-Q205):

NEW QUESTION # 200
Does Dataflow process batch data pipelines or streaming data pipelines?

A. Both Batch and Streaming Data Pipelines
B. Only Batch Data Pipelines
C. None of the above
D. Only Streaming Data Pipelines

Answer: A

Explanation:
Explanation
Dataflow is a unified processing model, and can execute both streaming and batch data pipelines Reference: https://cloud.google.com/dataflow/

NEW QUESTION # 201
You've migrated a Hadoop job from an on-prem cluster to dataproc and GCS. Your Spark job is a complicated analytical workload that consists of many shuffing operations and initial data are parquet files (on average
200-400 MB size each). You see some degradation in performance after the migration to Dataproc, so you'd like to optimize for it. You need to keep in mind that your organization is very cost-sensitive, so you'd like to continue using Dataproc on preemptibles (with 2 non-preemptible workers only) for this workload.
What should you do?

A. Switch to TFRecords formats (appr. 200MB per file) instead of parquet files.
B. Switch from HDDs to SSDs, copy initial data from GCS to HDFS, run the Spark job and copy results back to GCS.
C. Increase the size of your parquet files to ensure them to be 1 GB minimum.
D. Switch from HDDs to SSDs, override the preemptible VMs configuration to increase the boot disk size.

Answer: B

NEW QUESTION # 202
You want to use a database of information about tissue samples to classify future tissue samples as either normal or mutated. You are evaluating an unsupervised anomaly detection method for classifying the tissue samples. Which two characteristic support this method? (Choose two.)

A. You already have labels for which samples are mutated and which are normal in the database.
B. There are roughly equal occurrences of both normal and mutated samples in the database.
C. There are very few occurrences of mutations relative to normal samples.
D. You expect future mutations to have different features from the mutated samples in the database.
E. You expect future mutations to have similar features to the mutated samples in the database.

Answer: C,E

Explanation:
Unsupervised anomaly detection techniques detect anomalies in an unlabeled test data set under the assumption that the majority of the instances in the data set are normal by looking for instances that seem to fit least to the remainder of the data set. https://en.wikipedia.org/wiki/Anomaly_detection

NEW QUESTION # 203
If you want to create a machine learning model that predicts the price of a particular stock based on its recent price history, what type of estimator should you use?

A. Unsupervised learning
B. Clustering estimator
C. Classifier
D. Regressor

Answer: D

Explanation:
Regression is the supervised learning task for modeling and predicting continuous, numeric variables.
Examples include predicting real-estate prices, stock price movements, or student test scores.
Classification is the supervised learning task for modeling and predicting categorical variables. Examples include predicting employee churn, email spam, financial fraud, or student letter grades.
Clustering is an unsupervised learning task for finding natural groupings of observations (i.e. clusters) based on the inherent structure within your dataset. Examples include customer segmentation, grouping similar items in e-commerce, and social network analysis.
Reference: https://elitedatascience.com/machine-learning-algorithms

NEW QUESTION # 204
You are designing the database schema for a machine learning-based food ordering service that will predict what users want to eat. Here is some of the information you need to store:
The user profile: What the user likes and doesn't like to eat
The user account information: Name, address, preferred meal times
The order information: When orders are made, from where, to whom
The database will be used to store all the transactional data of the product. You want to optimize the data schem a. Which Google Cloud Platform product should you use?

A. Cloud SQL
B. Cloud Bigtable
C. Cloud Datastore
D. BigQuery

Answer: D

Explanation:
Topic 5, Practice Questions

NEW QUESTION # 205
......

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The latest Google Professional-Data-Engineer Exam free download

Trustworthy Google Professional-Data-Engineer Source | Professional-Data-Engineer Hot Spot Questions

Google Certified Professional Data Engineer Exam Sample Questions (Q200-Q205):

Free PDF 2026 Marvelous Google Professional-Data-Engineer: Latest Google Certified Professional Data Engineer Exam Study Notes

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