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Google GCP-DE Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Preparing data for analysis and machine learning | 13% | - Enabling data analysis
|
| Ingesting and processing data | 25% | - Transforming data
|
| Designing data processing systems | 24% | - Planning data solutions
|
| Maintaining and automating data workloads | 18% | - Operationalizing workloads
|
| Storing and managing data | 20% | - Implementing storage solutions
|
Google Data Engineer Sample Questions:
You are planning to use Google's Dataflow SDK to analyze customer data such as displayed below. Your project requirement is to extract only the customer name Passing Certification Exams Made Easy visit - https://www.2PassEasy.com from the data source and then write to an output PCollection.
Tom,555 X street Tim,553 Y street Sam, 111 Z street
Which operation is best suited for the above data processing requirement?
- A. Source API
- B. Sink API
- C. ParDo
- D. Data extraction
Correct Answer: C 🗳️
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For the best possible performance, what is the recommended zone for your Compute Engine instance and Cloud Bigtable instance?
- A. Have the Compute Engine instance in the furthest zone from the Cloud Bigtable instance.
- B. Have the Cloud Bigtable instance to be in the same zone as all of the consumers of your data.
- C. Have both the Compute Engine instance and the Cloud Bigtable instance to be in different zones.
- D. Have both the Compute Engine instance and the Cloud Bigtable instance to be in the same zone.
Correct Answer: D 🗳️
Explanation: Only visible for Prep4sureExam members. You can sign-up / login (it's free).
Your company maintains a hybrid deployment with GCP, where analytics are performed on your anonymized customer dat a. The data are imported to Cloud Storage from your data center through parallel uploads to a data transfer server running on GCP. Management informs you that the daily transfers take too long and have asked you to fix the problem. You want to maximize transfer speeds. Which action should you take?
- A. Increase the CPU size on your server.
- B. Increase the size of the Google Persistent Disk on your server.
- C. Increase your network bandwidth from your datacenter to GCP.
- D. Increase your network bandwidth from Compute Engine to Cloud Storage.
Correct Answer: C 🗳️
You need to create a data pipeline that copies time-series transaction data so that it can be queried from within BigQuery by your data science team for analysis. Every hour, thousands of transactions are updated with a new status. The size of the intitial dataset is 1.5 PB, and it will grow by 3 TB per day. The data is heavily structured, and your data science team will build machine learning models based on this dat a. You want to maximize performance and usability for your data science team. Which two strategies should you adopt? Choose 2 answers.
- A. Denormalize the data as must as possible.
- B. Preserve the structure of the data as much as possible.
- C. Use BigQuery UPDATE to further reduce the size of the dataset.
- D. Copy a daily snapshot of transaction data to Cloud Storage and store it as an Avro fil
- E. Use BigQuery'ssupport for external data sources to query.
- F. Develop a data pipeline where status updates are appended to BigQuery instead of updated.
Correct Answer: D,F 🗳️
Which of these sources can you not load data into BigQuery from?
- A. Google Drive
- B. Google Cloud Storage
- C. File upload
- D. Google Cloud SQL
Correct Answer: D 🗳️
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