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Google Certified Professional Data Engineer Exam Sample Questions (Q225-Q230):

NEW QUESTION # 225
Your financial services company is moving to cloud technology and wants to store 50 TB of financial timeseries data in the cloud. This data is updated frequently and new data will be streaming in all the time.
Your company also wants to move their existing Apache Hadoop jobs to the cloud to get insights into this data.
Which product should they use to store the data?

Answer: C

Explanation:
Reference: https://cloud.google.com/bigtable/docs/schema-design-time-series


NEW QUESTION # 226
You are developing an application on Google Cloud that will automatically generate subject labels for users' blog posts. You are under competitive pressure to add this feature quickly, and you have no additional developer resources. No one on your team has experience with machine learning. What should you do?

Answer: B


NEW QUESTION # 227
You are using BigQuery and Data Studio to design a customer-facing dashboard that displays large quantities of aggregated data. You expect a high volume of concurrent users. You need to optimize tie dashboard to provide quick visualizations with minimal latency. What should you do?

Answer: A


NEW QUESTION # 228
You are designing a cloud-native historical data processing system to meet the following conditions:
* The data being analyzed is in CSV, Avro, and PDF formats and will be accessed by multiple analysis tools including Cloud Dataproc, BigQuery, and Compute Engine.
* A streaming data pipeline stores new data daily.
* Peformance is not a factor in the solution.
* The solution design should maximize availability.
How should you design data storage for this solution?

Answer: B


NEW QUESTION # 229
What are all of the BigQuery operations that Google charges for?

Answer: D

Explanation:
Google charges for storage, queries, and streaming inserts. Loading data from a file and exporting data are free operations.


NEW QUESTION # 230
......

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