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Google GCP-DE Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Ingesting and processing data | 25% | - Building data pipelines
|
| Maintaining and automating data workloads | 18% | - Operationalizing workloads
|
| Preparing data for analysis and machine learning | 13% | - Preparing data for ML
|
| Designing data processing systems | 24% | - Designing data pipelines
|
| Storing and managing data | 20% | - Implementing storage solutions
|
Google Data Engineer Sample Questions:
You have a data pipeline with a Cloud Dataflow job that aggregates and writes time series metrics to Cloud Bigtable. This data feeds a dashboard used by thousands of users across the organization. You need to support additional concurrent users and reduce the amount of time required to write the dat a. Which two actions should you take? (Choose two.)
- A. Increase the maximum number of Cloud Dataflow workers by setting maxNumWorkers in PipelineOptions
- B. Configure your Cloud Dataflow pipeline to use local execution
- C. Increase the number of nodes in the Cloud Bigtable cluster
- D. Modify your Cloud Dataflow pipeline to use the Flatten transform before writing to Cloud Bigtable
- E. Modify your Cloud Dataflow pipeline to use the CoGroupByKey transform before writing to Cloud Bigtable
Correct Answer: D,E 🗳️
You are building a model to predict whether or not it will rain on a given day. You have thousands of input features and want to see if you can improve training speed by removing some features while having a minimum effect on model accuracy. What can you do?
- A. Instead of feeding in each feature individually, average their values in batches of 3.
- B. Remove the features that have null values for more than 50% of the training records.
- C. Eliminate features that are highly correlated to the output labels.
- D. Combine highly co-dependent features into one representative feature.
Correct Answer: D 🗳️
You are responsible for writing your company's ETL pipelines to run on an Apache Hadoop cluster. The pipeline will require some checkpointing and splitting pipelines. Which method should you use to write the pipelines?
- A. HiveQL using Hive
- B. Java using MapReduce
- C. PigLatin using Pig
- D. Python using MapReduce
Correct Answer: D 🗳️
What are all of the BigQuery operations that Google charges for?
- A. Queries and streaming inserts
- B. Storage, queries, and exporting data
- C. Storage, queries, and streaming inserts
- D. Storage, queries, and loading data from a file
Correct Answer: C 🗳️
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You need to choose a database for a new project that has the following requirements:
Fully managed
Able to automatically scale up
Transactionally consistent
Able to scale up to 6 TB
Able to be queried using SQL Which database do you choose?
- A. Cloud Datastore
- B. Cloud Spanner
- C. Cloud Bigtable
- D. Cloud SQL
Correct Answer: B 🗳️
