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Google Professional-Data-Engineer 考試是由 Google Cloud Platform 為數據專業人士提供的認證考試，旨在展示他們在 Google Cloud Platform 上設計、構建和管理數據處理系統的專業知識。這是一個業內非常受重視的認證，尤其適用於那些希望從事大數據工作的人。考試測試候選人對各種數據工程工具和技術的知識，通過考試證明候選人具有在 Google Cloud Platform 上設計和實現數據解決方案的技能和知識。

考試測試求職者在數據工程的各個方面的熟練程度，例如：設計數據處理系統，構建和運營系統，優化和安全數據網絡，以及開發高質量的機器學習模型。考試的格式包括多選題、案例研究以及測試求職者使用Google Cloud技術的實踐知識的實際情景。

Google Professional-DATA-DATA-DATA-Engineer認證考試包括多項選擇和基於方案的問題。該考試涵蓋了廣泛的主題，包括數據處理架構，數據建模，數據攝入，數據轉換，數據分析和數據可視化。該考試還測試了候選人使用各種Google Cloud Platform工具和服務的能力，例如Google Cloud Storage，Google BigQuery和Google Cloud DataFlow。通過考試的候選人將獲得Google認證的專業數據工程師認證，該認證證明了他們在數據工程領域的專業知識及其使用Google Cloud Platform技術設計和實施數據處理系統的能力。

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最新的 Google Cloud Certified Professional-Data-Engineer 免費考試真題 (Q124-Q129):

問題 #124
What are all of the BigQuery operations that Google charges for?

A. Storage, queries, and streaming inserts
B. Storage, queries, and loading data from a file
C. Storage, queries, and exporting data
D. Queries and streaming inserts

答案：A

解題說明：
Google charges for storage, queries, and streaming inserts. Loading data from a file and exporting data are free operations.

問題 #125
You want to use Google Stackdriver Logging to monitor Google BigQuery usage. You need an instant notification to be sent to your monitoring tool when new data is appended to a certain table using an insert job, but you do not want to receive notifications for other tables. What should you do?

A. Make a call to the Stackdriver API to list all logs, and apply an advanced filter.
B. In the Stackdriver logging admin interface, and enable a log sink export to BigQuery.
C. In the Stackdriver logging admin interface, enable a log sink export to Google Cloud Pub/Sub, and subscribe to the topic from your monitoring tool.
D. Using the Stackdriver API, create a project sink with advanced log filter to export to Pub/Sub, and subscribe to the topic from your monitoring tool.

答案：B

問題 #126
You are implementing workflow pipeline scheduling using open source-based tools and Google Kubernetes Engine (GKE). You want to use a Google managed service to simplify and automate the task. You also want to accommodate Shared VPC networking considerations. What should you do?

A. Use Cloud Composer in a Shared VPC configuration. Place the Cloud Composer resources in the service project.
B. Use Dataflow for your workflow pipelines. Use shell scripts to schedule workflows.
C. Use Dataflow for your workflow pipelines. Use Cloud Run triggers for scheduling.
D. Use Cloud Composer in a Shared VPC configuration. Place the Cloud Composer resources in the host project.

答案：A

解題說明：
Shared VPC requires that you designate a host project to which networks and subnetworks belong and a service project, which is attached to the host project. When Cloud Composer participates in a Shared VPC, the Cloud Composer environment is in the service project. Reference:
https://cloud.google.com/composer/docs/how-to/managing/configuring-shared-vpc

問題 #127
You are selecting services to write and transform JSON messages from Cloud Pub/Sub to BigQuery for a data pipeline on Google Cloud. You want to minimize service costs. You also want to monitor and accommodate input data volume that will vary in size with minimal manual intervention. What should you do?

A. Use Cloud Dataflow to run your transformations. Monitor the job system lag with Stackdriver. Use the
default autoscaling setting for worker instances.
B. Use Cloud Dataproc to run your transformations. Monitor CPU utilization for the cluster. Resize the number of worker nodes in your cluster via the command line.
C. Use Cloud Dataproc to run your transformations. Use the diagnose command to generate an operational output archive. Locate the bottleneck and adjust cluster resources.
D. Use Cloud Dataflow to run your transformations. Monitor the total execution time for a sampling of jobs. Configure the job to use non-default Compute Engine machine types when needed.

答案：C

問題 #128
You work on a regression problem in a natural language processing domain, and you have 100M labeled exmaples in your dataset. You have randomly shuffled your data and split your dataset into train and test samples (in a 90/10 ratio). After you trained the neural network and evaluated your model on a test set, you discover that the root-mean-squared error (RMSE) of your model is twice as high on the train set as on the test set. How should you improve the performance of your model?

A. Increase the share of the test sample in the train-test split.
B. Increase the complexity of your model by, e.g., introducing an additional layer or increase sizing the size of vocabularies or n-grams used.
C. Try out regularization techniques (e.g., dropout of batch normalization) to avoid overfitting.
D. Try to collect more data and increase the size of your dataset.

答案：C

問題 #129
......

Professional-Data-Engineer 認證可代表豐富且多樣化的工作角色及責任。因此，取得特定的認證將可做為具備成功執行重要IT功能所需之能力的最佳證明。由於受到全世界企業專家的熱烈支持，Professional-Data-Engineer 認證仍是達到長期事業目標的最有效率的方法之一，並且是公司用來開發及留住重要IT人員的不二法門。但是如何在第一次嘗試中就能有效的通過Google 的 Professional-Data-Engineer 認證考試？這個問題的答案隨著 PDFExamDumps 產生已經不再是問題了。

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Professional-Data-Engineer題庫分享 - Professional-Data-Engineer熱門題庫

Professional-Data-Engineer熱門題庫，Professional-Data-Engineer資訊

最新的 Google Cloud Certified Professional-Data-Engineer 免費考試真題 (Q124-Q129):