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AWS-Certified-Machine-Learning-Specialty資格試験 & Amazon AWS-Certified-Machine-Learning-Specialty日本語認定対策 - Royalholidayclubbed
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自分の能力を証明するために、AWS-Certified-Machine-Learning-Specialty資格試験試験に合格するのは不可欠なことです。弊社のAWS-Certified-Machine-Learning-Specialty資格試験真題を入手して、試験に合格する可能性が大きくなります。社会と経済の発展につれて、多くの人はIT技術を勉強します。 AmazonのAWS-Certified-Machine-Learning-Specialty資格試験ソフトを使用するすべての人を有効にするために最も快適なレビュープロセスを得ることができ、我々は、AmazonのAWS-Certified-Machine-Learning-Specialty資格試験の資料を提供し、PDF、オンラインバージョン、およびソフトバージョンを含んでいます。あなたの愛用する版を利用して、あなたは簡単に最短時間を使用してAmazonのAWS-Certified-Machine-Learning-Specialty資格試験試験に合格することができ、あなたのIT機能を最も権威の国際的な認識を得ます！ 我々Royalholidayclubbedは一番行き届いたアフタサービスを提供します。
AWS Certified Machine Learning AWS-Certified-Machine-Learning-Specialty きっと望んでいるでしょう。
AWS Certified Machine Learning AWS-Certified-Machine-Learning-Specialty資格試験 - AWS Certified Machine Learning - Specialty Royalholidayclubbedが持つべきなIT問題集を提供するサイトでございます。 あなたは試験の最新バージョンを提供することを要求することもできます。最新のAWS-Certified-Machine-Learning-Specialty 試験参考書試験問題を知りたい場合、試験に合格したとしてもRoyalholidayclubbedは無料で問題集を更新してあげます。
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全てのIT専門人員はAmazonのAWS-Certified-Machine-Learning-Specialty資格試験の認定試験をよく知っていて、その難しい試験に受かることを望んでいます。AmazonのAWS-Certified-Machine-Learning-Specialty資格試験の認定試験の認可を取ったら、あなたは望むキャリアを得ることができるようになります。RoyalholidayclubbedのAmazonのAWS-Certified-Machine-Learning-Specialty資格試験試験トレーニング資料を利用したら、望むことを取得できます。
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AWS-Certified-Machine-Learning-Specialty PDF DEMO:
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
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Updated: May 28, 2022
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