時間が経つとともに、我々はインタネット時代に生活します。この時代にはIT資格認証を取得するは重要になります。それでは、AWS-Certified-Machine-Learning-Specialty試験対策書試験に参加しよう人々は弊社Goldmile-InfobizのAWS-Certified-Machine-Learning-Specialty試験対策書問題集を選らんで勉強して、一発合格して、AmazonIT資格証明書を受け取れます。 AmazonのAWS-Certified-Machine-Learning-Specialty試験対策書認定試験はIT職員が欠くことができない認証です。IT職員のキャリアと関連しますから。 我々社はAmazon AWS-Certified-Machine-Learning-Specialty試験対策書問題集をリリースされる以来、たくさんの好評を博しました。
AWS Certified Machine Learning AWS-Certified-Machine-Learning-Specialty ショートカットは一つしかないです。
受験生のあなたを助けて時間とお金を節約したり、AWS-Certified-Machine-Learning-Specialty - AWS Certified Machine Learning - Specialty試験対策書試験に速く合格すると保証します。 Goldmile-Infobizは現在の実績を持っているのは受験生の皆さんによって実践を通して得られた結果です。真実かつ信頼性の高いものだからこそ、Goldmile-Infobizの試験参考書は長い時間にわたってますます人気があるようになっています。
一般的には、IT技術会社ではAmazon AWS-Certified-Machine-Learning-Specialty試験対策書資格認定を持つ職員の給料は持たない職員の給料に比べ、15％より高いです。これなので、IT技術職員としてのあなたはGoldmile-InfobizのAmazon AWS-Certified-Machine-Learning-Specialty試験対策書問題集デモを参考し、試験の準備に速く行動しましょう。我々社はあなたがAmazon AWS-Certified-Machine-Learning-Specialty試験対策書試験に一発的に合格するために、最新版の備考資料を提供します。
Amazon AWS-Certified-Machine-Learning-Specialty試験対策書 - 数年以来の試験問題集を研究しています。
Amazon AWS-Certified-Machine-Learning-Specialty試験対策書「AWS Certified Machine Learning - Specialty」認証試験に合格することが簡単ではなくて、Amazon AWS-Certified-Machine-Learning-Specialty試験対策書証明書は君にとってはIT業界に入るの一つの手づるになるかもしれません。しかし必ずしも大量の時間とエネルギーで復習しなくて、弊社が丹精にできあがった問題集を使って、試験なんて問題ではありません。
これなので、今から我々社Goldmile-InfobizのAWS-Certified-Machine-Learning-Specialty試験対策書試験に合格するのに努力していきます。弊社のAmazonのAWS-Certified-Machine-Learning-Specialty試験対策書真題によって、資格認定証明書を受け取れて、仕事の昇進を実現できます。
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 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: 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 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