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[Hardware] Professional-Data-Engineer Latest Exam Duration & Valid Professional-Data-En

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【Hardware】 Professional-Data-Engineer Latest Exam Duration & Valid Professional-Data-En

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Google Professional-Data-Engineer certification exam comprises of multiple-choice and multiple-select questions that require a thorough understanding of Google Cloud Platform services such as BigQuery, Google Cloud Storage, and Google Cloud Dataflow. Professional-Data-Engineer exam also tests an individual's knowledge of data processing patterns and best practices, understanding of machine learning models and algorithms, and proficiency in designing and deploying solutions that meet business requirements.
To pass the Google Professional-Data-Engineer exam, candidates must have a solid understanding of data engineering concepts and techniques, as well as practical experience working with the Google Cloud Platform. They must be able to design and implement data processing systems that are secure, scalable, and efficient, and have the ability to troubleshoot and optimize these systems as needed. Professional-Data-Engineer Exam is challenging and comprehensive, but passing it can open up many career opportunities in data engineering, especially for those interested in working with Google Cloud Platform.
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Google Certified Professional Data Engineer Exam Sample Questions (Q159-Q164):NEW QUESTION # 159
You used Cloud Dataprep to create a recipe on a sample of data in a BigQuery table. You want to reuse this recipe on a daily upload of data with the same schema, after the load job with variable execution time completes. What should you do?
  • A. Create a cron schedule in Cloud Dataprep.
  • B. Export the Cloud Dataprep job as a Cloud Dataflow template, and incorporate it into a Cloud Composer job.
  • C. Create an App Engine cron job to schedule the execution of the Cloud Dataprep job.
  • D. Export the recipe as a Cloud Dataprep template, and create a job in Cloud Scheduler.
Answer: B

NEW QUESTION # 160
You are training a spam classifier. You notice that you are overfitting the training dat
a. Which three actions can you take to resolve this problem? (Choose three.)
  • A. Use a larger set of features
  • B. Increase the regularization parameters
  • C. Reduce the number of training examples
  • D. Decrease the regularization parameters
  • E. Use a smaller set of features
  • F. Get more training examples
Answer: A,D,F

NEW QUESTION # 161
You operate a logistics company, and you want to improve event delivery reliability for vehicle-based sensors.
You operate small data centers around the world to capture these events, but leased lines that provide connectivity from your event collection infrastructure to your event processing infrastructure are unreliable, with unpredictable latency. You want to address this issue in the most cost-effective way. What should you do?
  • A. Establish a Cloud Interconnect between all remote data centers and Google.
  • B. Deploy small Kafka clusters in your data centers to buffer events.
  • C. Have the data acquisition devices publish data to Cloud Pub/Sub.
  • D. Write a Cloud Dataflow pipeline that aggregates all data in session windows.
Answer: C

NEW QUESTION # 162
You are designing storage for 20 TB of text files as part of deploying a data pipeline on Google Cloud.
Your input data is in CSV format. You want to minimize the cost of querying aggregate values for multiple users who will query the data in Cloud Storage with multiple engines. Which storage service and schema design should you use?
  • A. Use Cloud Storage for storage. Link as temporary tables in BigQuery for query.
  • B. Use Cloud Bigtable for storage. Install the HBase shell on a Compute Engine instance to query the Cloud Bigtable data.
  • C. Use Cloud Bigtable for storage. Link as permanent tables in BigQuery for query.
  • D. Use Cloud Storage for storage. Link as permanent tables in BigQuery for query.
Answer: B

NEW QUESTION # 163
Cloud Bigtable is Google's ______ Big Data database service.
  • A. Relational
  • B. NoSQL
  • C. SQL Server
  • D. mySQL
Answer: B
Explanation:
Cloud Bigtable is Google's NoSQL Big Data database service. It is the same database that Google uses for services, such as Search, Analytics, Maps, and Gmail. It is used for requirements that are low latency and high throughput including Internet of Things (IoT), user analytics, and financial data analysis.
Reference: https://cloud.google.com/bigtable/

NEW QUESTION # 164
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