Google GCP-DE Latest Study Plan | GCP-DE Exam Questions Vce

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Google GCP-DE Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Designing data processing systems	24%	- Designing data pipelines 1. Designing for data transformation and enrichment 2. Planning for data migration and integration 3. Defining architecture for batch and streaming processing - Planning data solutions 1. Selecting appropriate storage solutions 2. Planning for data security and compliance 3. Designing for reliability, scalability, and efficiency
Topic 2: Storing and managing data	20%	- Implementing storage solutions 1. Using data storage services appropriately 2. Designing data warehouses and data lakes 3. Managing data lifecycle and retention - Optimizing storage performance and cost 1. Configuring storage for access patterns 2. Implementing cost optimization strategies
Topic 3: 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
Topic 4: Maintaining and automating data workloads	18%	- Operationalizing workloads 1. Monitoring and troubleshooting pipelines 2. Orchestrating and scheduling jobs 3. Ensuring reliability and recoverability - Automation and optimization 1. Automating deployment and management 2. Optimizing resource usage and costs
Topic 5: Ingesting and processing data	25%	- Transforming data 1. Managing schema evolution 2. Optimizing transformations for performance 3. Applying data processing logic - Building data pipelines 1. Handling data quality and consistency 2. Developing batch and streaming workflows 3. Implementing ingestion mechanisms

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GCP-DE Exam Questions Vce & GCP-DE Reliable Exam Topics

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Google Data Engineer Sample Questions (Q53-Q58):

NEW QUESTION # 53
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. Increase the number of nodes in the Cloud Bigtable cluster
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. Modify your Cloud Dataflow pipeline to use the Flatten transform before writing to Cloud Bigtable

Answer: C,E

NEW QUESTION # 54
When using Cloud Dataproc clusters, you can access the YARN web interface by configuring a browser to connect through a proxy.

A. VPN
B. HTTP
C. HTTPS
D. SOCKS

Answer: D

Explanation:
When using Cloud Dataproc clusters, configure your browser to use the SOCKS proxy. The SOCKS proxy routes data intended for the Cloud Dataproc cluster through an SSH tunnel.
Reference: https://cloud.google.com/dataproc/docs/concepts/cluster-web-interfaces#interfaces

NEW QUESTION # 55
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 Natural Language API
C. Cloud Speech-to-Text API
D. Dialogflow Enterprise Edition

Answer: A

NEW QUESTION # 56
You are integrating one of your internal IT applications and Google BigQuery, so users can query BigQuery from the application's interface. You do not want individual users to authenticate to BigQuery and you do not want to give them access to the dataset. You need to securely access BigQuery from your IT application.
What should you do?

A. Create groups for your users and give those groups access to the dataset
B. Create a dummy user and grant dataset access to that use
C. Store the username and password for that user in a file on the files system, and use those credentials to access the BigQuery dataset
D. Create a service account and grant dataset access to that accoun
E. Use the service account's private key to access the dataset
F. Integrate with a single sign-on (SSO) platform, and pass each user's credentials along with the query request

Answer: D

NEW QUESTION # 57
You are developing an application on Google Cloud that will automatically generate subject labels for users' blog posts. You are under competitive pressure to add this feature quickly, and you have no additional developer resources. No one on your team has experience with machine learning. What should you do?

A. Process the generated Entity Analysis as labels.
B. Call the model from your application and process the results as labels.
C. Deploy the model using a KubernetesEngine cluste
D. Build and train a text classification model using TensorFlo
E. Call the model from your application and process the results as labels.
F. Call the Cloud Natural Language API from your applicatio
G. Call the Cloud Natural Language API from your applicatio
H. Build and train a text classification model using TensorFlo
I. Deploy the model using Cloud Machine Learning Engin
J. Process the generated Sentiment Analysis as labels.

Answer: A

NEW QUESTION # 58
......

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