Identify the steps in machine learning for teaching a machine to make decisions.

1. Collecting data → programing
2. Collecting data → training → testing predictions
3. Programing for every move
4. Programing without any data

Assertion (A): Autonomous systems can make decisions based on probabilistic data, whereas automated systems follow deterministic rules.

Reason (R): Autonomous systems rely on predefined rules and algorithms, while automated systems use real-time data to make decisions.

1. Both (A) and (R) are true and (R) is the correct explanation for (A).
2. Both (A) and (R) are true but (R) is not the correct explanation for (A).
3. (A) is true but (R) is false.
4. (A) is false but (R) is true.

What will be the output of the code given below?

st = "This is a test String"
v = st.count("s")
print(v)

1. 1
2. 2
3. 3
4. 4

Identify the type of graph shown below.

1. Line graph
2. Pie plot
3. Bar graph
4. Scatter plot