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Google GCP-DE Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Preparing data for analysis and machine learning | 13% | - Preparing data for ML
|
| Topic 2: Maintaining and automating data workloads | 18% | - Automation and optimization
|
| Topic 3: Designing data processing systems | 24% | - Designing data pipelines
|
| Topic 4: Ingesting and processing data | 25% | - Building data pipelines
|
| Topic 5: Storing and managing data | 20% | - Optimizing storage performance and cost
|
Google Data Engineer Sample Questions:
Which Google Cloud Platform service is an alternative to Hadoop with Hive?
- A. BigQuery
- B. Cloud Datastore
- C. Cloud Dataflow
- D. Cloud Bigtable
Correct Answer: A 🗳️
Explanation: Only visible for TestInsides members. You can sign-up / login (it's free).
Which of the following job types are supported by Cloud Dataproc (select 3 answers)?
- A. Hive
- B. Spark
- C. Pig
- D. YARN
Correct Answer: A,B,C 🗳️
Explanation: Only visible for TestInsides members. You can sign-up / login (it's free).
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. Modify the transformMapReduce jobs to apply sensor calibration before they do anything else.
- B. 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.
- C. Add sensor calibration data to the output of the ETL process, and document that all users need to apply sensor calibration themselves.
- D. Introduce a new MapReduce job to apply sensor calibration to raw data, and ensure all other MapReduce jobs are chained after this.
Correct Answer: A 🗳️
Suppose you have a table that includes a nested column called "city" inside a column called "person", but when you try to submit the following query in BigQuery, it gives you an error.
SELECT person FROM `project1.example.table1` WHERE city = "London"
How would you correct the error?
- A. Add ", UNNEST(person)" before the WHERE clause.
- B. Change "person" to "person.city".
- C. Change "person" to "city.person".
- D. Add ", UNNEST(city)" before the WHERE clause.
Correct Answer: A 🗳️
Explanation: Only visible for TestInsides members. You can sign-up / login (it's free).
Which of these rules apply when you add preemptible workers to a Dataproc cluster (select 2 answers)?
- A. Preemptible workers cannot store data.
- B. If a preemptible worker is reclaimed, then a replacement worker must be added manually.
- C. A Dataproc cluster cannot have only preemptible workers.
- D. Preemptible workers cannot use persistent disk.
Correct Answer: A,C 🗳️
Explanation: Only visible for TestInsides members. You can sign-up / login (it's free).
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