Professional-Machine-Learning-Engineerの無料問題集（285題）、Professional-Machine-Learning-Engineer認定試験参考書

Google Professional-Machine-Learning-Engineer 問題集

試験コード：Professional-Machine-Learning-Engineer

試験名称：Google Professional Machine Learning Engineer

最近更新時間：2024-11-20

問題と解答：全285問

Professional-Machine-Learning-Engineer 無料でデモをダウンロード：

PDF版 Demo ソフト版 Demo オンライン版 Demo

無料問題集Professional-Machine-Learning-Engineer 資格取得

質問 1：
You recently deployed a model to a Vertex Al endpoint Your data drifts frequently so you have enabled request-response logging and created a Vertex Al Model Monitoring job. You have observed that your model is receiving higher traffic than expected. You need to reduce the model monitoring cost while continuing to quickly detect drift. What should you do?
A. Replace the monitoring job with a DataFlow pipeline that uses TensorFlow Data Validation (TFDV).
B. Increase the monitor_interval parameter in the scheduieconfig of the monitoring job.
C. Decrease the sample_rate parameter in the Randomsampleconfig of the monitoring job.
D. Replace the monitoring job with a custom SQL scnpt to calculate statistics on the features and predictions in BigQuery.
正解：C
解説: (Topexam メンバーにのみ表示されます)

質問 2：
You are developing an ML model using a dataset with categorical input variables. You have randomly split half of the data into training and test sets. After applying one-hot encoding on the categorical variables in the training set, you discover that one categorical variable is missing from the test set. What should you do?
A. Apply one-hot encoding on the categorical variables in the test data.
B. Use sparse representation in the test set
C. Randomly redistribute the data, with 70% for the training set and 30% for the test set
D. Collect more data representing all categories
正解：A
解説: (Topexam メンバーにのみ表示されます)

質問 3：
You have built a custom model that performs several memory-intensive preprocessing tasks before it makes a prediction. You deployed the model to a Vertex Al endpoint. and validated that results were received in a reasonable amount of time After routing user traffic to the endpoint, you discover that the endpoint does not autoscale as expected when receiving multiple requests What should you do?
A. Decrease the CPU utilization target in the autoscaling configurations
B. Use a machine type with more memory
C. Increase the CPU utilization target in the autoscaling configurations
D. Decrease the number of workers per machine
正解：A
解説: (Topexam メンバーにのみ表示されます)

質問 4：
You are developing an ML model intended to classify whether X-Ray images indicate bone fracture risk. You have trained on Api Resnet architecture on Vertex AI using a TPU as an accelerator, however you are unsatisfied with the trainning time and use memory usage. You want to quickly iterate your training code but make minimal changes to the code. You also want to minimize impact on the models accuracy. What should you do?
A. Configure your model to use bfloat16 instead float32
B. Reduce the global batch size from 1024 to 256
C. Reduce the dimensions of the images used un the model
D. Reduce the number of layers in the model architecture
正解：A
解説: (Topexam メンバーにのみ表示されます)

質問 5：
Your work for a textile manufacturing company. Your company has hundreds of machines and each machine has many sensors. Your team used the sensory data to build hundreds of ML models that detect machine anomalies Models are retrained daily and you need to deploy these models in a cost-effective way. The models must operate 24/7 without downtime and make sub millisecond predictions. What should you do?
A. Deploy a Dataflow streaming pipeline with the Runlnference API and use automatic model refresh.
B. Deploy a Dataflow streaming pipeline and a Vertex Al Prediction endpoint with autoscaling.
C. Deploy a Dataflow batch pipeline and a Vertex Al Prediction endpoint.
D. Deploy a Dataflow batch pipeline with the Runlnference API. and use model refresh.
正解：A
解説: (Topexam メンバーにのみ表示されます)

質問 6：
You are collaborating on a model prototype with your team. You need to create a Vertex Al Workbench environment for the members of your team and also limit access to other employees in your project. What should you do?
A. 1. Create a new service account and grant it the Notebook Viewer role.
2 Grant the Service Account User role to each team member on the service account.
3 Grant the Vertex Al User role to each team member.
4. Provision a Vertex Al Workbench user-managed notebook instance that uses the new service account.
B. 1 Create a new service account and grant it the Vertex Al User role.
2 Grant the Service Account User role to each team member on the service account.
3. Grant the Notebook Viewer role to each team member.
4 Provision a Vertex Al Workbench user-managed notebook instance that uses the new service account.
C. 1 Grant the Vertex Al User role to the primary team member.
2. Grant the Notebook Viewer role to the other team members.
3. Provision a Vertex Al Workbench user-managed notebook instance that uses the primary user's account.
D. 1. Grant the Vertex Al User role to the default Compute Engine service account.
2. Grant the Service Account User role to each team member on the default Compute Engine service account.
3. Provision a Vertex Al Workbench user-managed notebook instance that uses the default Compute Engine service account.
正解：B
解説: (Topexam メンバーにのみ表示されます)

弊社は無料Google Professional-Machine-Learning-Engineerサンプルを提供します

お客様は問題集を購入する時、問題集の質量を心配するかもしれませんが、我々はこのことを解決するために、お客様に無料Professional-Machine-Learning-Engineerサンプルを提供いたします。そうすると、お客様は購入する前にサンプルをダウンロードしてやってみることができます。君はこのProfessional-Machine-Learning-Engineer問題集は自分に適するかどうか判断して購入を決めることができます。

Professional-Machine-Learning-Engineer試験ツール：あなたの訓練に便利をもたらすために、あなたは自分のペースによって複数のパソコンで設置できます。

弊社は失敗したら全額で返金することを承諾します

我々は弊社のProfessional-Machine-Learning-Engineer問題集に自信を持っていますから、試験に失敗したら返金する承諾をします。我々のGoogle Professional-Machine-Learning-Engineerを利用して君は試験に合格できると信じています。もし試験に失敗したら、我々は君の支払ったお金を君に全額で返して、君の試験の失敗する経済損失を減少します。

安全的な支払方式を利用しています

Credit Cardは今まで全世界の一番安全の支払方式です。少数の手続きの費用かかる必要がありますとはいえ、保障があります。お客様の利益を保障するために、弊社のProfessional-Machine-Learning-Engineer問題集は全部Credit Cardで支払われることができます。

領収書について：社名入りの領収書が必要な場合、メールで社名に記入していただき送信してください。弊社はPDF版の領収書を提供いたします。

TopExamは君にProfessional-Machine-Learning-Engineerの問題集を提供して、あなたの試験への復習にヘルプを提供して、君に難しい専門知識を楽に勉強させます。TopExamは君の試験への合格を期待しています。

一年間の無料更新サービスを提供します

君が弊社のGoogle Professional-Machine-Learning-Engineerをご購入になってから、我々の承諾する一年間の更新サービスが無料で得られています。弊社の専門家たちは毎日更新状態を検査していますから、この一年間、更新されたら、弊社は更新されたGoogle Professional-Machine-Learning-Engineerをお客様のメールアドレスにお送りいたします。だから、お客様はいつもタイムリーに更新の通知を受けることができます。我々は購入した一年間でお客様がずっと最新版のGoogle Professional-Machine-Learning-Engineerを持っていることを保証します。

Google Professional-Machine-Learning-Engineer 認定試験の出題範囲：

トピック	出題範囲
トピック 1	Collaborating within and across teams to manage data and models: It explores and processes organization-wide data including Apache Spark, Cloud Storage, Apache Hadoop, Cloud SQL, and Cloud Spanner. The topic also discusses using Jupyter notebooks to model prototype. Lastly, it discusses tracking and running ML experiments.
トピック 2	Serving and scaling models: Serving models and scaling online model serving are its sub-topics.
トピック 3	Architecting low-code ML solutions: It covers development of ML models by using BigQuery ML, using ML APIs to build AI solutions, and using AutoML to train models.
トピック 4	Automating and orchestrating ML pipelines: This topic focuses on development of end-to-end ML pipelines, automation of model retraining, and lastly tracking and auditing metadata.

参照：https://cloud.google.com/certification/guides/machine-learning-engineer

弊社のGoogle Professional-Machine-Learning-Engineerを利用すれば試験に合格できます

弊社のGoogle Professional-Machine-Learning-Engineerは専門家たちが長年の経験を通して最新のシラバスに従って研究し出した勉強資料です。弊社はProfessional-Machine-Learning-Engineer問題集の質問と答えが間違いないのを保証いたします。

この問題集は過去のデータから分析して作成されて、カバー率が高くて、受験者としてのあなたを助けて時間とお金を節約して試験に合格する通過率を高めます。我々の問題集は的中率が高くて、100％の合格率を保証します。我々の高質量のGoogle Professional-Machine-Learning-Engineerを利用すれば、君は一回で試験に合格できます。