GCP-DE學習資料,GCP-DE題庫

GCP-DE 專業認證是一項擁有極高國際聲譽的專業認證,獲取 GCP-DE 全球專業認證,既是你自身技術能力的體現,也將幫助你開創美好的未來,在激烈的竟爭中處於領先位置。有很多已經通過了一些IT認證考試的人使用了 VCESoft 提供的練習題和答案,其中也有通過 GCP-DE 認證考試,他們也是利用的這個,Google GCP-DE 考題包括PDF格式和模擬考試測試版本兩種,方便考生利用最新的擬真試題仔細地複習備考。

Google GCP-DE Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Managing and optimizing solutions20%-25%- Managing resources and costs
  • 1. Control operational costs
  • 2. Tune query and pipeline performance
  • 3. Optimize storage and compute usage
- Reliability and scalability
  • 1. Implement disaster recovery strategies
  • 2. Scale data workloads efficiently
  • 3. Design highly available systems
Topic 2: Ensuring solution quality20%-25%- Security and compliance
  • 1. Manage IAM and access control
  • 2. Implement encryption and compliance controls
  • 3. Protect sensitive data
- Data quality management
  • 1. Validate and clean data
  • 2. Implement data governance
  • 3. Maintain metadata and lineage
Topic 3: Designing data processing systems22%-27%- Designing for data ingestion
  • 1. Design batch and streaming ingestion solutions
  • 2. Select appropriate storage systems
  • 3. Design scalable and reliable ingestion architecture
- Designing data pipelines
  • 1. Build ETL and ELT pipelines
  • 2. Design orchestration workflows
  • 3. Optimize pipeline performance and cost
Topic 4: Building and operationalizing data processing systems28%-33%- Operationalizing systems
  • 1. Implement fault tolerance and recovery
  • 2. Monitor data pipelines and workloads
  • 3. Manage logging and alerting
- Building data processing systems
  • 1. Implement streaming data systems
  • 2. Use BigQuery, Dataflow, Pub/Sub, Dataproc and related services
  • 3. Implement batch processing systems

>> GCP-DE學習資料 <<

GCP-DE題庫 - GCP-DE試題

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最新的 Google Cloud Certified GCP-DE 免費考試真題 (Q20-Q25):

問題 #20
Which Google Cloud Platform service is an alternative to Hadoop with Hive?

答案:B

解題說明:
Apache Hive is a data warehouse software project built on top of Apache Hadoop for providing data summarization, query, and analysis. Google BigQuery is an enterprise data warehouse. Reference: https://en.wikipedia.org/wiki/Apache_Hive


問題 #21
What are the minimum permissions needed for a service account used with Google Dataproc?

答案:B

解題說明:
Service accounts authenticate applications running on your virtual machine instances to other Google Cloud Platform services. For example, if you write an application that reads and writes files on Google Cloud Storage, it must first authenticate to the Google Cloud Storage API. At a minimum, service accounts used with Cloud Dataproc need permissions to read and write to Google Cloud Storage, and to write to Google Cloud Logging.
Reference: https://cloud.google.com/dataproc/docs/concepts/service-accounts#important_notes


問題 #22
What are all of the BigQuery operations that Google charges for?

答案:C

解題說明:
Google charges for storage, queries, and streaming inserts. Loading data from a file and exporting data are free operations.
Reference: https://cloud.google.com/bigquery/pricing


問題 #23
You are operating a Cloud Dataflow streaming pipeline. The pipeline aggregates events from a Cloud Pub/Sub subscription source, within a window, and sinks the resulting aggregation to a Cloud Storage bucket. The source has consistent throughput. You want to monitor an alert on behavior of the pipeline with Cloud Stackdriver to ensure that it is processing dat a. Which Stackdriver alerts should you create?

答案:A


問題 #24
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?

答案:B


問題 #25
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GCP-DE題庫: https://www.vcesoft.com/GCP-DE-pdf.html