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1Z0-1096-21 PDF Dumps | Mar 14, 2022 Recently Updated Questions
NEW QUESTION 29
You have created a notebook and want to run the notebook on a periodic schedule. How should you achieve this?
- A. You have to login as the admin user and schedule a job to run the notebook.
- B. You need to contact the database administrator to configure the notebook to run at a particular time.
- C. You cannot run the notebook on the scheduled time.
- D. You can create a job and schedule it to run a specific notebook.
Answer: D
NEW QUESTION 30
A supermarket needs to segment its customers based on their purchasing pattern. Which machine learning technique should you use to achieve this?
- A. Anomaly Detection
- B. Clustering
- C. Association Rules
- D. Regression
Answer: A
NEW QUESTION 31
Which two templates are supported while saving a notebook?
- A. Personal
- B. Example
- C. Public
- D. Shared
Answer: A,D
Explanation:
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/notebooks-templates.html
NEW QUESTION 32
In an Oracle Machine Learning notebook, which is the correct syntax for starting a SQL script in Scratchpad?
- A. Ssql
- B. #sql
- C. %sql
- D. @sql
Answer: C
NEW QUESTION 33
What is the correct sequence of creating items in Oracle Machine Learning (OML) Notebooks when setting up a new Autonomous Database instance?
- A. Job, Project, Workspace, Notebook
- B. OML User, Notebook, Job
- C. Notebook, Job, Project, OML User
- D. Workspace, OML User, Notebook, Jobs
Answer: C
NEW QUESTION 34
Which is a FALSE statement regarding Oracle Machine Learning (OML)?
- A. OML provides univariate and multivariate statistics.
- B. OML provides integration with open source Python and R statistical analysis functions.
- C. OML offerings need a separate data visualization tool for creating visualization.
- D. OML provides scalable statistical functions though OML4Py and OML4R.
Answer: C
NEW QUESTION 35
You want to analyze the spike in sales during weekends in India (Saturday and Sunday) and also perform a similar analysis for weekends in Dubai (Friday and Saturday). You will be reusing these notebooks in similar situations over time. You do not want to share them with other users.
Which template should you use?
- A. Personal
- B. Example
- C. Shared
- D. Public
Answer: A
NEW QUESTION 36
Which three are supervised machine learning algorithms?
- A. Random Forest
- B. K-means clustering
- C. Association rule
- D. Linear Regression
- E. Support Vector Machines
Answer: A,D,E
NEW QUESTION 37
Which two statements are true about supervised machine learning?
- A. It generally results in predictive models.
- B. It is used to extract meaningful insights from raw data to improve data operational efficiency.
- C. The learning process is directed by a previously known dependent attribute or target.
- D. It does not specify a target, it can be applied to a population of interest.
- E. There is no previously known result to guide the algorithm in building the model.
Answer: A,C
Explanation:
Supervised learning is also known as directed learning. The learning process is directed by a previously known dependent attribute or target. Directed data mining attempts to explain the behavior of the target as a function of a set of independent attributes or predictors. Supervised learning generally results in predictive models. This is in contrast to unsupervised learning where the goal is pattern detection. The building of a supervised model involves training, a process whereby the software analyzes many cases where the target value is already known. In the training process, the model "learns" the logic for making the prediction. For example, a model that seeks to identify the customers who are likely to respond to a promotion must be trained by analyzing the characteristics of many customers who are known to have responded or not responded to a promotion in the past.
https://docs.oracle.com/cd/E18283_01/datamine.112/e16808.pdf
NEW QUESTION 38
Which four actions would typically be performed during the data preparation step for analyzing data with Oracle Machine Learning?
- A. data collection from various sources
- B. binning of numeric data
- C. numeric data normalization
- D. performing feature engineering, such as creating derived variables
- E. missing value replacement
- F. building a machine learning model
Answer: A,C,D,E
NEW QUESTION 39
For which two types of notebooks can you schedule a job?
- A. Notebooks owned by you
- B. Notebooks under Shared templates
- C. Notebooks under Personal templates
- D. Notebooks shared with you
Answer: A,B
NEW QUESTION 40
Examine the command:
%sql
SELECT CUST_MARITAL_STATUS, MEDIAN <COST_CREDIT__LIMIT)
FROM SH. CUSTOMERS GROUP BY CUST_MARITAL_STATUS;
Which statement is true about running this command where the table has columns cust_maritax._statu3 (VARCHAR2) and cost_credit_limit (number) with 100k rows of non-null data?
- A. It will return an error.
- B. It will return the median value of customer credit limit grouped by marital status.
- C. It will return a customer's marital status and credit limit grouped by marital status
- D. It will return the marital status and credit limit of each customer.
Answer: B
NEW QUESTION 41
Which task is NOT required by an Administrator when adding a new user to Oracle Machine Leamina (OML) Notebooks?
- A. Create an OML username and password for the user in the Oracle Machine Learning Management User Interface.
- B. Issue grant commands on the database to allow access to the tables associated with the user's Oracle Machine Learning Notebooks.
- C. Provide the user with an Autonomous Data Warehouse client wallet for remote authentication.
- D. Add the user's full name and email ID in the Oracle Machine Learning Management User Interface.
Answer: D
NEW QUESTION 42
Which three statements are true about unsupervised machine learning?
- A. It can be used as a preliminary step for supervised algorithms.
- B. It analyzes cases where the target value is already known.
- C. There is no previously known result to guide the algorithm in building the model.
- D. It uses unlabeled data.
Answer: B,C,D
NEW QUESTION 43
Which three are unsupervised machine learning algorithms?
- A. Random Forest
- B. Association rule
- C. Logistical Regression
- D. Principal Component Analysis
- E. K-means clustering
- F. Naive Bayes
Answer: B,D,E
Explanation:
Unsupervised machine learning uses a more independent approach, in which a computer learns to identify complex processes and patterns without a human providing close, constant guidance. Unsupervised machine learning involves training based on data that does not have labels or a specific, defined output. To continue the childhood teaching analogy, unsupervised machine learning is akin to a child learning to identify fruit by observing colors and patterns, rather than memorizing the names with a teacher's help. The child would look for similarities between images and separate them into groups, assigning each group its own new label. Examples of unsupervised machine learning algorithms include k-means clustering, principal and independent component analysis, and association rules.
NEW QUESTION 44
You have shared your workspace with other users. You want to allow them to run and update the notebooks. However, you do not want to provide the ability to schedule the jobs to run notebooks.
Which permission should be granted to other users?
- A. Viewer
- B. Manager
- C. Admin
- D. Developer
Answer: A
NEW QUESTION 45
How can you share a notebook with multiple developers for a collaborative effort with notebook editing?
- A. Notebooks cannot be shared for collaborating with other users.
- B. You can share notebooks if you have Viewer permissions.
- C. You can share notebooks if you have Developer permissions.
- D. You create different notebooks, edit separately, and merge later.
Answer: D
NEW QUESTION 46
Examine the output:
- A. SET SQLFORMAT ANSICONSOLE
- B. SET SQLFORMAT DELIMITED
- C. SET SQLFORMAT LOADER
- D. SET SQLFORMAT FIXED
Answer: C
NEW QUESTION 47
Which step is not required to be performed by an administrator when adding a new user to Oracle Machine Learning (OML) Notebooks?
- A. Create an OML username and password for the user in the Oracle Machine Learning User Management interface.
- B. Provide the user with Autonomous Database client wallet for remote credentials.
- C. Add the user's name and email ID in the Oracle Machine Learning User Management interface.
- D. Issue grant commands on tables from other schemas to allow access from shared notebooks.
Answer: B
NEW QUESTION 48
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