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| Certification Vendor: | Google Cloud |
|---|---|
| Exam Name: | Google Cloud Professional Data Engineer Exam |
| Exam Number: | Professional-Data-Engineer |
| Exam Format: | Multiple select, Multiple choice |
| Exam Price: | USD 200 (plus tax where applicable) |
| Certificate Validity Period: | 2 years |
| Passing Score: | 700 / 1000 |
| Real Exam Qty: | 40 - 50 |
| Related Certifications: | Google Cloud Professional Cloud Architect Google Cloud Professional Data Analyst Google Cloud Associate Cloud Engineer |
| Exam Duration: | 120 minutes |
| Available Languages: | English, Japanese |
| Recommended Training: | Official Exam Guide Google Cloud Professional Data Engineer Learning Path |
| Exam Registration: | Google Cloud Certification Registration |
| Sample Questions: | Google Professional-Data-Engineer Sample Questions |
| Exam Way: | Online-proctored or onsite-proctored |
| Pre Condition: | No mandatory prerequisites; recommended 3+ years industry experience, including 1+ year designing and managing Google Cloud data solutions |
| Official Syllabus URL: | https://cloud.google.com/learn/certification/data-engineer |
>> Relevant Professional-Data-Engineer Questions <<
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Google Professional-Data-Engineer Certification is a valuable certification that can help professionals advance their careers in the field of data engineering. Google Certified Professional Data Engineer Exam certification demonstrates to employers that a candidate has the skills and knowledge needed to design and build data processing systems on Google Cloud Platform. It also shows that a candidate is committed to staying up-to-date with the latest technology trends and developments in the field of data engineering.
NEW QUESTION # 297
Cloud Dataproc charges you only for what you really use with _____ billing.
Answer: D
Explanation:
One of the advantages of Cloud Dataproc is its low cost. Dataproc charges for what you really use with minute-by-minute billing and a low, ten-minute-minimum billing period.
Reference: https://cloud.google.com/dataproc/docs/concepts/overview
NEW QUESTION # 298
You have 100 GB of data stored in a BigQuery table. This data is outdated and will only be accessed one or two times a year for analytics with SQL. For backup purposes, you want to store this data to be immutable for
3 years. You want to minimize storage costs. What should you do?
Answer: B
Explanation:
This option will allow you to store the data in a low-cost storage option, as the archive storage class has the lowest price per GB among the Cloud Storage classes. It will also ensure that the data is immutable for 3 years, as the locked retention policy prevents the deletion or overwriting of the data until the retention period expires. You can still query the data using SQL by creating a BigQuery external table that references the exported files in the Cloud Storage bucket. Option A is incorrect because creating a BigQuery table clone will not reduce the storage costs, as the clone will have the same size and storage class as the original table.
Option B is incorrect because creating a BigQuery table snapshot will also not reduce the storage costs, as the snapshot will have the same size and storage class as the original table. Option C is incorrect because enabling versioning on the bucket will not make the data immutable, as the versions can still be deleted or overwritten by anyone with the appropriate permissions. It will also increase the storage costs, as each version of the file will be charged separately. References:
Exporting table data | BigQuery | Google Cloud
Storage classes | Cloud Storage | Google Cloud
Retention policies and retention periods | Cloud Storage | Google Cloud Federated queries | BigQuery | Google Cloud
NEW QUESTION # 299
Which action can a Cloud Dataproc Viewer perform?
Answer: C
Explanation:
A Cloud Dataproc Viewer is limited in its actions based on its role. A viewer can only list clusters, get cluster details, list jobs, get job details, list operations, and get operation details.
NEW QUESTION # 300
A live TV show asks viewers to cast votes using their mobile phones. The event generates a large volume of data during a 3 minute period. You are in charge of the Voting restructure* and must ensure that the platform can handle the load and Hal all votes are processed. You must display partial results write voting is open.
After voting doses you need to count the votes exactly once white optimizing cost. What should you do?
Answer: B
NEW QUESTION # 301
Your organization stores customer data in an on-premises Apache Hadoop cluster in Apache Parquet format. Data is processed on a daily basis by Apache Spark jobs that run on the cluster.
You are migrating the Spark jobs and Parquet data to Google Cloud. BigQuery will be used on future transformation pipelines so you need to ensure that your data is available in BigQuery. You want to use managed services, while minimizing ETL data processing changes and overhead costs. What should you do?
Answer: B
NEW QUESTION # 302
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