100% Pass Quiz 2025 Google Realistic Reliable Professional-Data-Engineer Test Cost
100% Pass Quiz 2025 Google Realistic Reliable Professional-Data-Engineer Test Cost
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To become a Google Certified Professional Data Engineer, candidates need to pass the Professional-Data-Engineer exam. Professional-Data-Engineer exam consists of multiple-choice and multiple-select questions, and it is intended for professionals who have a minimum of three years of industry experience in data engineering. Professional-Data-Engineer Exam Duration is 2 hours, and the passing score is 70%. Professional-Data-Engineer exam fee is $200, and it can be taken at a testing center or remotely online.
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Google Certified Professional Data Engineer Exam Sample Questions (Q342-Q347):
NEW QUESTION # 342
An online retailer has built their current application on Google App Engine. A new initiative at the company mandates that they extend their application to allow their customers to transact directly via the application.
They need to manage their shopping transactions and analyze combined data from multiple datasets using a business intelligence (BI) tool. They want to use only a single database for this purpose. Which Google Cloud database should they choose?
- A. BigQuery
- B. Cloud Datastore
- C. Cloud BigTable
- D. Cloud SQL
Answer: C
Explanation:
Reference: https://cloud.google.com/solutions/business-intelligence/
NEW QUESTION # 343
You are creating a new pipeline in Google Cloud to stream IoT data from Cloud Pub/Sub through Cloud Dataflow to BigQuery. While previewing the data, you notice that roughly 2% of the data appears to be corrupt. You need to modify the Cloud Dataflow pipeline to filter out this corrupt data. What should you do?
- A. Add a GroupByKey transform in Cloud Dataflow to group all of the valid data together and discard the rest.
- B. Add a Partition transform in Cloud Dataflow to separate valid data from corrupt data.
- C. Add a SideInput that returns a Boolean if the element is corrupt.
- D. Add a ParDo transform in Cloud Dataflow to discard corrupt elements.
Answer: D
NEW QUESTION # 344
You have important legal hold documents in a Cloud Storage bucket. You need to ensure that these documents are not deleted or modified. What should you do?
- A. Set a retention policy. Set the default storage class to Archive for long-term digital preservation.
- B. Set a retention policy. Lock the retention policy.
- C. Enable the Object Versioning feature. Add a lifecycle rule.
- D. Enable the Object Versioning feature. Create a copy in a bucket in a different region.
Answer: B
Explanation:
To ensure that important legal hold documents in a Cloud Storage bucket are not deleted or modified, the most effective method is to set and lock a retention policy. Here's why this is the best choice:
Retention Policy:
A retention policy defines a retention period during which objects in the bucket cannot be deleted or modified. This ensures data immutability.
Once a retention policy is set and locked, it cannot be removed or reduced, providing strong protection against accidental or malicious deletions.
Locking the Retention Policy:
Locking a retention policy ensures that the retention period cannot be changed. This action is permanent and guarantees that the specified retention period will be enforced.
Steps to Implement:
Set the Retention Policy:
Define a retention period for the bucket to ensure that all objects are protected for the required duration.
Lock the Retention Policy:
Lock the retention policy to prevent any modifications, ensuring the immutability of the documents.
Reference:
Cloud Storage Retention Policy Documentation
How to Set a Retention Policy
NEW QUESTION # 345
You store historic data in Cloud Storage. You need to perform analytics on the historic data. You want to use a solution to detect invalid data entries and perform data transformations that will not require programming or knowledge of SQL.
What should you do?
- A. Use Cloud Dataflow with Beam to detect errors and perform transformations.
- B. Use Cloud Dataprep with recipes to detect errors and perform transformations.
- C. Use federated tables in BigQuery with queries to detect errors and perform transformations.
- D. Use Cloud Dataproc with a Hadoop job to detect errors and perform transformations.
Answer: A
NEW QUESTION # 346
What Dataflow concept determines when a Window's contents should be output based on certain criteria being met?
- A. OutputCriteria
- B. Sessions
- C. Triggers
- D. Windows
Answer: C
Explanation:
Triggers control when the elements for a specific key and window are output. As elements arrive, they are put into one or more windows by a Window transform and its associated WindowFn, and then passed to the associated Trigger to determine if the Windows contents should be output.
Reference: https://cloud.google.com/dataflow/java-
sdk/JavaDoc/com/google/cloud/dataflow/sdk/transforms/windowing/Trigger
NEW QUESTION # 347
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