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Understanding functional and technical aspects of Google Professional Data Engineer Exam Designing data processing systemsThe following will be discussed here:
Tradeoffs involving latency, throughput, transactionsDesigning data processing systemsDistributed systemsSystem availability and fault toleranceDesigning data pipelinesHybrid cloud and edge computingData modelingUse of distributed systemsJob automation and orchestration (e.g., Cloud Composer)At least once, in-order, and exactly once, etc., event processingCapacity planningBatch and streaming data (e.g., Cloud Dataflow, Cloud Dataproc, Apache Beam, Apache Spark and Hadoop ecosystem, Cloud Pub/Sub, Apache Kafka)Choice of infrastructureSchema designMapping storage systems to business requirements>> Detail Professional-Data-Engineer Explanation <<
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Google Certified Professional Data Engineer Exam Sample Questions (Q82-Q87):NEW QUESTION # 82
You need to move 2 PB of historical data from an on-premises storage appliance to Cloud Storage within six months, and your outbound network capacity is constrained to 20 Mb/sec. How should you migrate this data to Cloud Storage?
Answer: B
Explanation:
Explanation/Reference:
NEW QUESTION # 83
You are migrating your data warehouse to BigQuery. You have migrated all of your data into tables in a dataset. Multiple users from your organization will be using the dat
a. They should only see certain tables based on their team membership. How should you set user permissions?
Answer: A
NEW QUESTION # 84
You are choosing a NoSQL database to handle telemetry data submitted from millions of Internet-of- Things (IoT) devices. The volume of data is growing at 100 TB per year, and each data entry has about
100 attributes. The data processing pipeline does not require atomicity, consistency, isolation, and durability (ACID). However, high availability and low latency are required. You need to analyze the data by querying against individual fields. Which three databases meet your requirements? (Choose three.)
Answer: B,D,F
NEW QUESTION # 85
You are migrating a table to BigQuery and are deeding on the data model. Your table stores information related to purchases made across several store locations and includes information like the time of the transaction, items purchased, the store ID and the city and state in which the store is located You frequently query this table to see how many of each item were sold over the past 30 days and to look at purchasing trends by state city and individual store. You want to model this table to minimize query time and cost. What should you do?
Answer: C
NEW QUESTION # 86
You want to archive data in Cloud Storage. Because some data is very sensitive, you want to use the "Trust No One" (TNO) approach to encrypt your data to prevent the cloud provider staff from decrypting your dat
a. What should you do?
Answer: A
NEW QUESTION # 87
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