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Professional Data Engineer: Professional Data Engineer on Google Cloud Platform
Exam Questions:
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2.370 Learners
The Professional Data Engineer exam is crucial for IT professionals aiming to validate their skills in designing, building, operationalizing, and securing data processing systems. To increase your chances of passing, practicing with real exam questions shared by those who have succeeded can be invaluable. In this guide, we’ll provide you with practice test questions and answers offering insights directly from candidates who have already passed the exam.
Exam Details:
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Exam Name: Professional Data Engineer
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Length of test: 2 hours (120 minutes)
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Exam Format: Multiple-choice and multiple-select questions
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Exam Language: English
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Number of questions in the actual exam: 50-60 questions
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Passing Score: 80%
Why Use Professional Data Engineer Practice Test?
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Real Exam Experience: Our practice tests accurately replicate the format and difficulty of the actual Professional Data Engineer exam, providing you with a realistic preparation experience.
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Identify Knowledge Gaps: Practicing with these tests helps you identify areas where you need more study, allowing you to focus your efforts effectively.
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Boost Confidence: Regular practice with exam-like questions builds your confidence and reduces test anxiety.
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Track Your Progress: Monitor your performance over time to see your improvement and adjust your study plan accordingly.
Key Features of Professional Data Engineer Practice Test:
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Up-to-Date Content: Our community ensures that the questions are regularly updated to reflect the latest exam objectives and technology trends.
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Detailed Explanations: Each question comes with detailed explanations, helping you understand the correct answers and learn from any mistakes.
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Comprehensive Coverage: The practice tests cover all key topics of the Professional Data Engineer exam, including data engineering, machine learning, data processing systems, and security.
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Customizable Practice: Create your own practice sessions based on specific topics or difficulty levels to tailor your study experience to your needs.
Use the member-shared Professional Data Engineer Practice Tests to ensure you're fully prepared for your certification exam. Start practicing today and take a significant step towards achieving your certification goals!
Related questions
You are designing a data mesh on Google Cloud by using Dataplex to manage data in BigQuery and Cloud Storage. You want to simplify data asset permissions. You are creating a customer virtual lake with two user groups:
* Data engineers, which require lull data lake access
* Analytic users, which require access to curated data
You need to assign access rights to these two groups. What should you do?
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You need to connect multiple applications with dynamic public IP addresses to a Cloud SQL instance. You configured users with strong passwords and enforced the SSL connection to your Cloud SOL instance. You want to use Cloud SQL public IP and ensure that you have secured connections. What should you do?
An external customer provides you with a daily dump of data from their database. The data flows into Google Cloud Storage GCS as comma-separated values (CSV) files. You want to analyze this data in Google BigQuery, but the data could have rows that are formatted incorrectly or corrupted. How should you build this pipeline?
Your company built a TensorFlow neural-network model with a large number of neurons and layers.
The model fits well for the training dat a. However, when tested against new data, it performs poorly. What method can you employ to address this?
Explanation:
Reference https://medium.com/mlreview/a-simple-deep-learning-model-for-stock-price-predictionusing-tensorflow-30505541d877
You are designing the architecture to process your data from Cloud Storage to BigQuery by using Dataflow. The network team provided you with the Shared VPC network and subnetwork to be used by your pipelines. You need to enable the deployment of the pipeline on the Shared VPC network. What should you do?
One of your encryption keys stored in Cloud Key Management Service (Cloud KMS) was exposed. You need to re-encrypt all of your CMEK-protected Cloud Storage data that used that key. and then delete the compromised key. You also want to reduce the risk of objects getting written without customer-managed encryption key (CMEK protection in the future. What should you do?
What are all of the BigQuery operations that Google charges for?
Explanation:
Google charges for storage, queries, and streaming inserts. Loading data from a file and exporting data are free operations.
Reference: https://cloud.google.com/bigquery/pricing
You work for a large real estate firm and are preparing 6 TB of home sales data lo be used for machine learning You will use SOL to transform the data and use BigQuery ML lo create a machine learning model. You plan to use the model for predictions against a raw dataset that has not been transformed. How should you set up your workflow in order to prevent skew at prediction time?
You work for a car manufacturer and have set up a data pipeline using Google Cloud Pub/Sub to capture anomalous sensor events. You are using a push subscription in Cloud Pub/Sub that calls a custom HTTPS endpoint that you have created to take action of these anomalous events as they occur. Your custom HTTPS endpoint keeps getting an inordinate amount of duplicate messages. What is the most likely cause of these duplicate messages?
You have a streaming pipeline that ingests data from Pub/Sub in production. You need to update this streaming pipeline with improved business logic. You need to ensure that the updated pipeline reprocesses the previous two days of delivered Pub/Sub messages. What should you do?
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