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Google GCP-DE Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Storing and managing data | 20% | - Implementing storage solutions
|
| Topic 2: Ingesting and processing data | 25% | - Transforming data
|
| Topic 3: Maintaining and automating data workloads | 18% | - Operationalizing workloads
|
| Topic 4: Preparing data for analysis and machine learning | 13% | - Preparing data for ML
|
| Topic 5: Designing data processing systems | 24% | - Planning data solutions
|
Google Data Engineer Sample Questions:
You architect a system to analyze seismic dat
a. Your extract, transform, and load (ETL) process runs as a series of MapReduce jobs on an Apache Hadoop cluster. The ETL process takes days to process a data set because some steps are computationally expensive. Then you discover that a sensor calibration step has been omitted. How should you change your ETL process to carry out sensor calibration systematically in the future?
- A. Develop an algorithm through simulation to predict variance of data output from the last MapReduce job based on calibration factors, and apply the correction to all data.
- B. Introduce a new MapReduce job to apply sensor calibration to raw data, and ensure all other MapReduce jobs are chained after this.
- C. Add sensor calibration data to the output of the ETL process, and document that all users need to apply sensor calibration themselves.
- D. Modify the transformMapReduce jobs to apply sensor calibration before they do anything else.
Correct Answer: D 🗳️
You have enabled the free integration between Firebase Analytics and Google BigQuery. Firebase now automatically creates a new table daily in BigQuery in the format app_events_YYYYMMDD. You want to query all of the tables for the past 30 days in legacy SQL. What should you do?
- A. Use WHERE date BETWEEN YYYY-MM-DD AND YYYY-MM-DD
- B. Use the TABLE_DATE_RANGE function
- C. Use the WHERE_PARTITIONTIME pseudo column
- D. Use SELECT IF.(date >= YYYY-MM-DD AND date <= YYYY-MM-DD
Correct Answer: B 🗳️
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MJTelco needs you to create a schema in Google Bigtable that will allow for the historical analysis of the last 2 years of records. Each record that comes in is sent every 15 minutes, and contains a unique identifier of the device and a data record. The most common query is for all the data for a given device for a given day. Which schema should you use?
- A. Rowkey: data_pointColumn data: device_id, date
- B. Rowkey: date#data_pointColumn data: device_id
- C. Rowkey: dateColumn data: device_id, data_point
- D. Rowkey: date#device_idColumn data: data_point
- E. Rowkey: device_idColumn data: date, data_point
Correct Answer: A 🗳️
Which of the following job types are supported by Cloud Dataproc (select 3 answers)?
- A. Pig
- B. Hive
- C. YARN
- D. Spark
Correct Answer: A,B,D 🗳️
Explanation: Only visible for VCE4Plus members. You can sign-up / login (it's free).
Which row keys are likely to cause a disproportionate number of reads and/or writes on a particular node in a Bigtable cluster (select 2 answers)?
- A. A non-sequential numeric ID
- B. A stock symbol followed by a timestamp
- C. A sequential numeric ID
- D. A timestamp followed by a stock symbol
Correct Answer: C,D 🗳️
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