ところで、受験生の皆さんを簡単にIT認定試験に合格させられる方法がないですか。もちろんありますよ。NewValidDumpsの問題集を利用することは正にその最良の方法です。 そのデザインは当面の急速に変化するIT市場と密接な関係があります。NewValidDumpsのトレーニングはあなたを助けて継続的に発展している技術を利用して、問題を解決する能力を高めると同時に仕事についての満足度を向上させることができます。 君がAmazonのAWS-Certified-Machine-Learning-Specialty試験勉強攻略問題集を購入したら、私たちは一年間で無料更新サービスを提供することができます。
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QUESTION NO: 1
A Machine Learning Specialist is building a logistic regression model that will predict whether or not a person will order a pizza. The Specialist is trying to build the optimal model with an ideal classification threshold.
What model evaluation technique should the Specialist use to understand how different classification thresholds will impact the model's performance?
A. Receiver operating characteristic (ROC) curve
B. Misclassification rate
C. Root Mean Square Error (RM&)
D. L1 norm
Answer: A
QUESTION NO: 2
A Machine Learning Specialist built an image classification deep learning model. However the
Specialist ran into an overfitting problem in which the training and testing accuracies were 99% and
75%r respectively.
How should the Specialist address this issue and what is the reason behind it?
A. The learning rate should be increased because the optimization process was trapped at a local minimum.
B. The dimensionality of dense layer next to the flatten layer should be increased because the model is not complex enough.
C. The epoch number should be increased because the optimization process was terminated before it reached the global minimum.
D. The dropout rate at the flatten layer should be increased because the model is not generalized enough.
Answer: C
QUESTION NO: 3
A Machine Learning Specialist working for an online fashion company wants to build a data ingestion solution for the company's Amazon S3-based data lake.
The Specialist wants to create a set of ingestion mechanisms that will enable future capabilities comprised of:
* Real-time analytics
* Interactive analytics of historical data
* Clickstream analytics
* Product recommendations
Which services should the Specialist use?
A. Amazon Athena as the data catalog; Amazon Kinesis Data Streams and Amazon Kinesis Data
Analytics for historical data insights; Amazon DynamoDB streams for clickstream analytics; AWS Glue to generate personalized product recommendations
B. AWS Glue as the data catalog; Amazon Kinesis Data Streams and Amazon Kinesis Data Analytics for historical data insights; Amazon Kinesis Data Firehose for delivery to Amazon ES for clickstream analytics; Amazon EMR to generate personalized product recommendations
C. AWS Glue as the data dialog; Amazon Kinesis Data Streams and Amazon Kinesis Data Analytics for real-time data insights; Amazon Kinesis Data Firehose for delivery to Amazon ES for clickstream analytics; Amazon EMR to generate personalized product recommendations
D. Amazon Athena as the data catalog; Amazon Kinesis Data Streams and Amazon Kinesis Data
Analytics for near-realtime data insights; Amazon Kinesis Data Firehose for clickstream analytics; AWS
Glue to generate personalized product recommendations
Answer: C
QUESTION NO: 4
A Machine Learning Specialist has created a deep learning neural network model that performs well on the training data but performs poorly on the test data.
Which of the following methods should the Specialist consider using to correct this? (Select THREE.)
A. Decrease dropout.
B. Increase regularization.
C. Increase feature combinations.
D. Decrease feature combinations.
E. Decrease regularization.
F. Increase dropout.
Answer: A,B,C
QUESTION NO: 5
A Machine Learning Specialist kicks off a hyperparameter tuning job for a tree-based ensemble model using Amazon SageMaker with Area Under the ROC Curve (AUC) as the objective metric This workflow will eventually be deployed in a pipeline that retrains and tunes hyperparameters each night to model click-through on data that goes stale every 24 hours With the goal of decreasing the amount of time it takes to train these models, and ultimately to decrease costs, the Specialist wants to reconfigure the input hyperparameter range(s) Which visualization will accomplish this?
A. A scatter plot with points colored by target variable that uses (-Distributed Stochastic Neighbor
Embedding (I-SNE) to visualize the large number of input variables in an easier-to-read dimension.
B. A scatter plot showing (he performance of the objective metric over each training iteration
C. A histogram showing whether the most important input feature is Gaussian.
D. A scatter plot showing the correlation between maximum tree depth and the objective metric.
Answer: A
ITの専門者はAmazonのAmazon SAA-C03-JPN認定試験があなたの願望を助けって実現できるのがよく分かります。 NewValidDumpsのAmazonのSAP C-THR86-2405試験トレーニング資料は高度に認証されたIT領域の専門家の経験と創造を含めているものです。 NewValidDumpsの専門家チームが君の需要を満たすために自分の経験と知識を利用してAmazonのCisco 010-151J認定試験対策模擬テスト問題集が研究しました。 AmazonのIAPP CIPP-US試験は、ITに関する仕事に就職している人々にとって、重要な能力への証明ですが、難しいです。 Cisco 300-415J - あなたはいつでもサブスクリプションの期間を延長することができますから、より多くの時間を取って充分に試験を準備できます。
Updated: May 28, 2022
試験コード:AWS-Certified-Machine-Learning-Specialty
試験名称:AWS Certified Machine Learning - Specialty
最近更新時間:2024-12-22
問題と解答:全 308 問
Amazon AWS-Certified-Machine-Learning-Specialty 試験復習
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試験コード:AWS-Certified-Machine-Learning-Specialty
試験名称:AWS Certified Machine Learning - Specialty
最近更新時間:2024-12-22
問題と解答:全 308 問
Amazon AWS-Certified-Machine-Learning-Specialty 問題と解答
ダウンロード
試験コード:AWS-Certified-Machine-Learning-Specialty
試験名称:AWS Certified Machine Learning - Specialty
最近更新時間:2024-12-22
問題と解答:全 308 問
Amazon AWS-Certified-Machine-Learning-Specialty 復習テキスト
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