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Self-learning and self-evaluation functions
Our Data Engineer qualification test guide boosts the self-learning and self-evaluation functions so as to let the clients understand their learning results and learning process, then find the weak links to improve them. Through the self-learning function the learners can choose the learning methods by themselves and choose the contents which they think are important. Through the self-evaluation function the learners can evaluate their mastery degree of our GCP-DE test materials and their learning process. The two functions can help the learners adjust their learning arrangements and schedules to efficiently prepare the exam. The clients can record their self-learning summary and results into our software and evaluate their learning process, mastery degrees and learning results in our software. According their learning conditions of our GCP-DE certification guide they can change their learning methods and styles.
Google GCP-DE Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Operationalizing data and ML pipelines | 30% | - Monitoring and troubleshooting
|
| Maintaining and optimizing data and ML solutions | 20% | - Security and governance
|
| Designing data processing systems | 20% | - Data pipeline architecture design
|
| Building and operationalizing data processing systems | 30% | - Data ingestion and transformation
|
Google Data Engineer Sample Questions:
You are developing a software application using Google's Dataflow SDK, and want to use conditional, for loops and other complex programming structures to create a branching pipeline. Which component will be used for the data processing operation?
- A. Pipeline
- B. Sink API
- C. Transform
- D. PCollection
Correct Answer: C 🗳️
Explanation: Only visible for LatestCram members. You can sign-up / login (it's free).
You are implementing several batch jobs that must be executed on a schedule. These jobs have many interdependent steps that must be executed in a specific order. Portions of the jobs involve executing shell scripts, running Hadoop jobs, and running queries in BigQuery. The jobs are expected to run for many minutes up to several hours. If the steps fail, they must be retried a fixed number of times. Which service should you use to manage the execution of these jobs?
- A. Cloud Composer
- B. Cloud Functions
- C. Cloud Dataflow
- D. Cloud Scheduler
Correct Answer: D 🗳️
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. Use BigQuery'ssupport for external data sources to query.
- C. Copy a daily snapshot of transaction data to Cloud Storage and store it as an Avro fil
- D. Preserve the structure of the data as much as possible.
- E. Develop a data pipeline where status updates are appended to BigQuery instead of updated.
- F. Use BigQuery UPDATE to further reduce the size of the dataset.
Correct Answer: C,E 🗳️
If you're running a performance test that depends upon Cloud Bigtable, all the choices except one below are recommended steps. Which is NOT a recommended step to follow?
- A. Use at least 300 GB of data.
- B. Run your test for at least 10 minutes.
- C. Before you test, run a heavy pre-test for several minutes.
- D. Do not use a production instance.
Correct Answer: D 🗳️
Explanation: Only visible for LatestCram members. You can sign-up / login (it's free).
You want to process payment transactions in a point-of-sale application that will run on Google Cloud Platform. Your user base could grow exponentially, but you do not want to manage infrastructure scaling.
Which Google database service should you use?
- A. BigQuery
- B. Cloud Bigtable
- C. Cloud SQL
- D. Cloud Datastore
Correct Answer: C 🗳️








