GCP-DE Certified & Standard GCP-DE Answers

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| Section | Weight | Objectives |
|---|
| Maintaining and automating data workloads | 18% | - Operationalizing workloads
- 1. Orchestrating and scheduling jobs
- 2. Monitoring and troubleshooting pipelines
- 3. Ensuring reliability and recoverability
- Automation and optimization
- 1. Automating deployment and management
- 2. Optimizing resource usage and costs
|
| Preparing data for analysis and machine learning | 13% | - Enabling data analysis
- 1. Implementing data sharing and governance
- 2. Optimizing query performance
- 3. Preparing datasets for querying and reporting
- Preparing data for ML
- 1. Feature engineering and data preparation
- 2. Supporting model training and serving
|
| Storing and managing data | 20% | - Optimizing storage performance and cost
- 1. Configuring storage for access patterns
- 2. Implementing cost optimization strategies
- Implementing storage solutions
- 1. Using data storage services appropriately
- 2. Designing data warehouses and data lakes
- 3. Managing data lifecycle and retention
|
| Designing data processing systems | 24% | - Designing data pipelines
- 1. Defining architecture for batch and streaming processing
- 2. Designing for data transformation and enrichment
- 3. Planning for data migration and integration
- Planning data solutions
- 1. Selecting appropriate storage solutions
- 2. Planning for data security and compliance
- 3. Designing for reliability, scalability, and efficiency
|
| Ingesting and processing data | 25% | - Transforming data
- 1. Optimizing transformations for performance
- 2. Applying data processing logic
- 3. Managing schema evolution
- Building data pipelines
- 1. Handling data quality and consistency
- 2. Developing batch and streaming workflows
- 3. Implementing ingestion mechanisms
|
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Standard GCP-DE Answers & GCP-DE Online Exam
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Google Data Engineer Sample Questions (Q63-Q68):
NEW QUESTION # 63
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 your network bandwidth from Compute Engine to Cloud Storage.
- C. Increase your network bandwidth from your datacenter to GCP.
- D. Increase the size of the Google Persistent Disk on your server.
Answer: C
NEW QUESTION # 64
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 number of nodes in the Cloud Bigtable cluster
- B. Modify your Cloud Dataflow pipeline to use the Flatten transform before writing to Cloud Bigtable
- C. Modify your Cloud Dataflow pipeline to use the CoGroupByKey transform before writing to Cloud Bigtable
- D. Configure your Cloud Dataflow pipeline to use local execution
- E. Increase the maximum number of Cloud Dataflow workers by setting maxNumWorkers in PipelineOptions
Answer: B,C
NEW QUESTION # 65
You are a retailer that wants to integrate your online sales capabilities with different in-home assistants, such as Google Home. You need to interpret customer voice commands and issue an order to the backend systems. Which solutions should you choose?
- A. Cloud AutoML Natural Language
- B. Cloud Speech-to-Text API
- C. Cloud Natural Language API
- D. Dialogflow Enterprise Edition
Answer: A
NEW QUESTION # 66
What Dataflow concept determines when a Window's contents should be output based on certain criteria being met?
- A. OutputCriteria
- B. Windows
- C. Sessions
- D. Triggers
Answer: D
Explanation:
Triggers control when the elements for a specific key and window are output. As elements arrive, they are put into one or more windows by a Window transform and its associated WindowFn, and then passed to the associated Trigger to determine if the Windows contents should be output.
Reference:
https://cloud.google.com/dataflow/java-sdk/JavaDoc/com/google/cloud/dataflow/sdk/transforms/windowing/Tri
NEW QUESTION # 67
You are planning to migrate your current on-premises Apache Hadoop deployment to the cloud. You need to ensure that the deployment is as fault-tolerant and cost-effective as possible for long-running batch jobs. You want to use a managed service. What should you do?
- A. Install Hadoop and Spark on a 10-node Compute Engine instance group with preemptible instances.Store data in HDF
- B. Use an SSD persistent disk and 50% preemptible worker
- C. Store data in Cloud Storage, and change references in scripts from hdfs:// to gs://
- D. Change references in scripts from hdfs:// to gs://
- E. Install Hadoop and Spark on a 10-node Compute Engine instance group with standard instance
- F. Change references in scripts from hdfs:// to gs://
- G. Install the Cloud Storage connector, and store the data in Cloud Storag
- H. Deploy a Cloud Dataproc cluste
- I. Store data in Cloud Storage, and change references in scripts from hdfs:// to gs://
- J. Deploy a Cloud Dataproc cluste
- K. Use a standard persistent disk and 50% preemptible worker
Answer: H
NEW QUESTION # 68
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