AWS-Certified-Machine-Learning-Specialty資格トレーリング、AWS-Certified-Machine-Learning-Specialty合格率 - Amazon AWS-Certified-Machine-Learning-Specialty勉強ガイド - Omgzlook

この問題集はあなたが少ない労力で最高の結果を取得することができます。OmgzlookはIT認定試験を受験した多くの人々を助けました。また、受験生からいろいろな良い評価を得ています。 すべてのことの目的はあなたに安心に試験に準備さされるということです。弊社のOmgzlookはIT認定試験のソフトの一番信頼たるバンドになるという目標を達成するために、弊社はあなたに最新版のAmazonのAWS-Certified-Machine-Learning-Specialty資格トレーリング試験問題集を提供いたします。 現在の市場では、Omgzlookはあなたの最もよい選択です。

そのデモはAWS-Certified-Machine-Learning-Specialty資格トレーリング試験資料の一部を含めています。

AWS Certified Machine Learning AWS-Certified-Machine-Learning-Specialty資格トレーリング - AWS Certified Machine Learning - Specialty Omgzlookは優れたIT情報のソースを提供するサイトです。 AmazonのAWS-Certified-Machine-Learning-Specialty 日本語対策の認定試験に合格すれば、就職機会が多くなります。OmgzlookはAmazonのAWS-Certified-Machine-Learning-Specialty 日本語対策の認定試験の受験生にとっても適合するサイトで、受験生に試験に関する情報を提供するだけでなく、試験の問題と解答をはっきり解説いたします。

これは試験の準備をするために非常に効率的なツールですから。この問題集はあなたが少ない労力で最高の結果を取得することができます。OmgzlookはIT認定試験を受験した多くの人々を助けました。

Amazon AWS-Certified-Machine-Learning-Specialty資格トレーリング - Omgzlookは君にとってベストな選択になります。

もし君がAmazonのAWS-Certified-Machine-Learning-Specialty資格トレーリングに参加すれば、良い学習のツルを選ぶすべきです。AmazonのAWS-Certified-Machine-Learning-Specialty資格トレーリング認定試験はIT業界の中でとても重要な認証試験で、合格するために良い訓練方法で準備をしなければなりません。。

OmgzlookのAmazonのAWS-Certified-Machine-Learning-Specialty資格トレーリング試験トレーニング資料は試験問題と解答を含まれて、豊富な経験を持っているIT業種の専門家が長年の研究を通じて作成したものです。その権威性は言うまでもありません。

AWS-Certified-Machine-Learning-Specialty PDF DEMO:

QUESTION NO: 1
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: 2
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: 3
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

QUESTION NO: 4
A Machine Learning Specialist receives customer data for an online shopping website. The data includes demographics, past visits, and locality information. The Specialist must develop a machine learning approach to identify the customer shopping patterns, preferences and trends to enhance the website for better service and smart recommendations.
Which solution should the Specialist recommend?
A. A neural network with a minimum of three layers and random initial weights to identify patterns in the customer database
B. Random Cut Forest (RCF) over random subsamples to identify patterns in the customer database
C. Latent Dirichlet Allocation (LDA) for the given collection of discrete data to identify patterns in the customer database.
D. Collaborative filtering based on user interactions and correlations to identify patterns in the customer database
Answer: D

QUESTION NO: 5
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

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Updated: May 28, 2022