PASS GUARANTEED 2025 GOOGLE PROFESSIONAL-DATA-ENGINEER: RELIABLE GOOGLE CERTIFIED PROFESSIONAL DATA ENGINEER EXAM BRAINDUMPS QUESTIONS

Pass Guaranteed 2025 Google Professional-Data-Engineer: Reliable Google Certified Professional Data Engineer Exam Braindumps Questions

Pass Guaranteed 2025 Google Professional-Data-Engineer: Reliable Google Certified Professional Data Engineer Exam Braindumps Questions

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Google Professional-Data-Engineer Exam is a challenging and comprehensive test that requires a deep understanding of data engineering concepts and technologies. Candidates need to be familiar with a range of tools and platforms, including Google Cloud Platform, Hadoop, Spark, and SQL. Passing the exam demonstrates to employers and peers that the candidate has the knowledge and skills to design and build complex data processing systems that can handle large volumes of data and meet the specific needs of their organization.

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Google Certified Professional Data Engineer Exam Sample Questions (Q252-Q257):

NEW QUESTION # 252
Which of the following is NOT a valid use case to select HDD (hard disk drives) as the storage for Google Cloud Bigtable?

  • A. You expect to store at least 10 TB of data.
  • B. You will not use the data to back a user-facing or latency-sensitive application.
  • C. You will mostly run batch workloads with scans and writes, rather than frequently executing random reads of a small number of rows.
  • D. You need to integrate with Google BigQuery.

Answer: D

Explanation:
For example, if you plan to store extensive historical data for a large number of remote- sensing devices and then use the data to generate daily reports, the cost savings for HDD storage may justify the performance tradeoff. On the other hand, if you plan to use the data to display a real-time dashboard, it probably would not make sense to use HDD storage-reads would be much more frequent in this case, and reads are much slower with HDD storage.
Reference: https://cloud.google.com/bigtable/docs/choosing-ssd-hdd


NEW QUESTION # 253
You plan to deploy Cloud SQL using MySQL. You need to ensure high availability in the event of a zone failure.
What should you do?

  • A. Create a Cloud SQL instance in one zone, and create a failover replica in another zone within the same region.
  • B. Create a Cloud SQL instance in one zone, and create a read replica in another zone within the same region.
  • C. Create a Cloud SQL instance in one zone, and configure an external read replica in a zone in a different region.
  • D. Create a Cloud SQL instance in a region, and configure automatic backup to a Cloud Storage bucket in the same region.

Answer: C


NEW QUESTION # 254
Which software libraries are supported by Cloud Machine Learning Engine?

  • A. TensorFlow
  • B. Theano and TensorFlow
  • C. TensorFlow and Torch
  • D. Theano and Torch

Answer: A

Explanation:
Cloud ML Engine mainly does two things:
Enables you to train machine learning models at scale by running TensorFlow training applications in the cloud.
Hosts those trained models for you in the cloud so that you can use them to get predictions about new data.
Reference: https://cloud.google.com/ml-engine/docs/technical-overview#what_it_does


NEW QUESTION # 255
You are building an application to share financial market data with consumers, who will receive data feeds.
Data is collected from the markets in real time. Consumers will receive the data in the following ways:
* Real-time event stream
* ANSI SQL access to real-time stream and historical data
* Batch historical exports
Which solution should you use?

  • A. Cloud Pub/Sub, Cloud Dataproc, Cloud SQL
  • B. Cloud Dataproc, Cloud Dataflow, BigQuery
  • C. Cloud Pub/Sub, Cloud Storage, BigQuery
  • D. Cloud Dataflow, Cloud SQL, Cloud Spanner

Answer: C


NEW QUESTION # 256
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. There are roughly equal occurrences of both normal and mutated samples in the database.
  • B. You already have labels for which samples are mutated and which are normal in the database.
  • C. You expect future mutations to have different features from the mutated samples in the database.
  • D. There are very few occurrences of mutations relative to normal samples.
  • E. You expect future mutations to have similar features to the mutated samples in the database.

Answer: A,C


NEW QUESTION # 257
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