IT業種のAmazonのMLS-C01模擬試験認定試験に合格したいのなら、Goldmile-Infobiz AmazonのMLS-C01模擬試験試験トレーニング問題集を選ぶのは必要なことです。AmazonのMLS-C01模擬試験認定試験に受かったら、あなたの仕事はより良い保証を得て、将来のキャリアで、少なくともIT領域であなたの技能と知識は国際的に認知され、受け入れられるです。これも多くの人々がAmazonのMLS-C01模擬試験認定試験を選ぶ理由の一つです。 こうした、お客様に完備かつ高品質のMLS-C01模擬試験試験資料を提供できます。IT職員の一員として、目前のAmazonのMLS-C01模擬試験試験情報を明らかに了解できますか？もし了解しなかったら、心配する必要がありません。 AmazonのMLS-C01模擬試験試験に受かることを通じて現在の激しい競争があるIT業種で昇進したくて、IT領域で専門的な技能を強化したいのなら、豊富なプロ知識と長年の努力が必要です。
AWS Certified Specialty MLS-C01 あなたはそれをやったことができましたか。
AWS Certified Specialty MLS-C01模擬試験 - AWS Certified Machine Learning - Specialty Goldmile-Infobizは受験者に向かって試験について問題を解決する受験資源を提供するサービスのサイトで、さまざまな受験生によって別のトレーニングコースを提供いたします。 Goldmile-InfobizのAmazonのMLS-C01 勉強時間試験トレーニング資料の値段は手頃で、IT認証の受験生のみなさんによく適用します。Goldmile-InfobizのAmazonのMLS-C01 勉強時間試験資料は同じシラバスに従って研究されたのです。
AmazonのMLS-C01模擬試験認定試験の最新教育資料はGoldmile-Infobizの専門チームが研究し続けてついに登場し、多くの人の夢が実現させることができます。今のIT業界の中で、自分の地位を固めたくて知識と情報技術を証明したいのもっとも良い方法がAmazonのMLS-C01模擬試験認定試験でございます。がAmazonのMLS-C01模擬試験「AWS Certified Machine Learning - Specialty」認定試験の合格書を取ったら仕事の上で大きな変化をもたらします。
Amazon MLS-C01模擬試験 - もうこれ以上悩む必要がないですよ。
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もっと重要なのは、この問題集はあなたが試験に合格することを保証できますから。この問題集よりもっと良いツールは何一つありません。
MLS-C01 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 Marketing Manager at a pet insurance company plans to launch a targeted marketing campaign on social media to acquire new customers Currently, the company has the following data in
Amazon Aurora
* Profiles for all past and existing customers
* Profiles for all past and existing insured pets
* Policy-level information
* Premiums received
* Claims paid
What steps should be taken to implement a machine learning model to identify potential new customers on social media?
A. Use a decision tree classifier engine on customer profile data to understand key characteristics of consumer segments. Find similar profiles on social media
B. Use a recommendation engine on customer profile data to understand key characteristics of consumer segments. Find similar profiles on social media
C. Use regression on customer profile data to understand key characteristics of consumer segments
Find similar profiles on social media.
D. Use clustering on customer profile data to understand key characteristics of consumer segments
Find similar profiles on social media.
Answer: B
QUESTION NO: 5
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
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Updated: May 28, 2022