你用過Shobhadoshi的MLS-C01題庫考古題嗎?這個考古題是最近剛更新的資料,包括了真實考試中可能出現的所有問題,保證你一次就可以通過考試。這個考古題可以讓你看到你意想不到的成果。如果你考試失敗Shobhadoshi將會全額退款,所以請放心使用。 他們都在IT行業中有很高的權威。他們利用專業的知識和經驗不斷地為準備參加IT相關認證考試的人提供培訓材料。 選擇我們Shobhadoshi網站,您不僅可以通過熱門的MLS-C01題庫考試,而且還可以享受我們提供的一年免費更新服務。
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我們Shobhadoshi的 Amazon的MLS-C01題庫的考題資料是按照相同的教學大綱來來研究的,同時也不斷升級我們的培訓材料,所以我們的考試培訓資料包括試題及答案,和實際的考試相似度非常高,所以形成了我們Shobhadoshi的通過率也是非常的高,這也是不可否認的事實, 由此知道Shobhadoshi Amazon的MLS-C01題庫考試培訓資料對考生的幫助,而且我們的價格絕對合理,適合每位IT認證的考生。
但是這並不代表不能獲得高分輕鬆通過考試。那麼,還不知道通過這個考試的捷徑在哪里的你,是不是想知道通過考試的技巧呢?現在我來告訴你,就是利用Shobhadoshi的MLS-C01題庫考古題。
QUESTION NO: 1
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: 2
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: 3
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: 4
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: 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
Psychiatric Rehabilitation Association CFRP - 這個考古題包含了實際考試中一切可能出現的問題。 對於Microsoft SC-200認證考試,你是怎麼想的呢?作為非常有人氣的Amazon認證考試之一,這個考試也是非常重要的。 Shobhadoshi的CIPS L4M6考古題是最新最全面的考試資料,一定可以給你通過考試的勇氣與自信。 所有購買Nutanix NCP-US-6.5題庫的客戶都將得到一年的免費升級服務,這讓您擁有充裕的時間來完成考試。 GIAC GEIR - 而且,Shobhadoshi也是當前市場上最值得你信賴的網站。
Updated: May 28, 2022
考試編碼:MLS-C01
考試名稱:AWS Certified Machine Learning - Specialty
更新時間:2025-06-07
問題數量:324題
Amazon MLS-C01 考題套裝
下載免費試用
考試編碼:MLS-C01
考試名稱:AWS Certified Machine Learning - Specialty
更新時間:2025-06-07
問題數量:324題
Amazon MLS-C01 認證考試解析
下載免費試用
考試編碼:MLS-C01
考試名稱:AWS Certified Machine Learning - Specialty
更新時間:2025-06-07
問題數量:324題
Amazon MLS-C01 最新試題
下載免費試用