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Question 164 MSQ · 3.0 marks
Which of the following statements is/ are true for Google Cloud Functions?
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Google Cloud functions work on stateless paradigm - one function invocation
doesn’t depend on the previous function invocations.
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Google cloud functions can be triggered by deletion of an object in GCS.
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Google Cloud Functions can automatically scale-up compute in case of high
load.
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A single execution of a google cloud function is timed indefinitely till the
operation finishes.
**Fin Forensics**
**Section Id :** 64065339864
**Section Number :** 8
**Section type :** Online
**Mandatory or Optional :** Mandatory
**Number of Questions :** 26
**Number of Questions to be attempted :** 26
**Section Marks :** 25
**Display Number Panel :** Yes
**Group All Questions :** No
**Enable Mark as Answered Mark for Review and**
Yes
**Clear Response :**
**Maximum Instruction Time :** 0
A published solution is not available for this question yet.
XYZ Inc. has quick assets of ₹ 5,50,000 and current liabilities of ₹ 2,50,000. The company purchased
₹ 85,500 in inventory on credit. After the purchase, the quick ratio would be
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1.6
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2.5
6406531967445.
2.0
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2.2
A published solution is not available for this question yet.
You are considering two independent projects that have differing requirements. Project A has a
required return of 12 percent compared to Project B’s required return of 13.5 percent. Project A
costs ₹75,000 and has cash flows of ₹21,000, ₹49,000, and ₹12,000 for Years 1 to 3, respectively.
Project B has an initial cost of ₹70,000 and cash flows of ₹15,000, ₹18,000, and ₹41,000 for Years 1
to 3, respectively. Based on the NPV, you should:
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accept both Project A and Project B.
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accept Project A and reject Project B.
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accept Project B and reject Project A.
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reject both Project A and Project B.
A published solution is not available for this question yet.
Scott has been offered an employment contract for ten years at a starting salary of ₹ 65,000 with
guaranteed annual raises of 5 percent. What is the current value of this offer at a discount rate of
7 percent?
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₹ 638,724.17
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₹ 602,409.91
6406531967473.
₹ 558,845.85
6406531967474.
₹ 630,500.00
A published solution is not available for this question yet.
A trust has been established to fund scholarships in perpetuity. The next annual distribution will
be ₹ 1,200 and future payments will increase by 3 percent per year. What is the value of this trust
at a discount rate of 7.4 percent?
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₹ 17,189.19
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₹ 19,960.00
6406531967477.
₹ 27,272.73
6406531967478.
₹ 24,609.11
A published solution is not available for this question yet.
An insurance settlement offer includes annual payments of ₹ 36,000, ₹ 42,000, and ₹ 50,000 over
the next three years, respectively, with the first payment being made one year from today. What is
the minimum amount you should accept today as a lump sum settlement if your discount rate is 7
percent?
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₹ 111,144.18
6406531967480.
₹ 105,000.10
6406531967481.
₹ 118,924.27
6406531967482.
₹ 114,556.88
A published solution is not available for this question yet.
Stock A has an expected return of 12 percent and a variance of 0.0203. The market has an
expected return of 11 percent and a variance of 0.0093. What is the beta of Stock A if the
covariance of Stock A with the market is 0.0137?
6406531967491.
0.68
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1.55
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1.47
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1.32
A published solution is not available for this question yet.
The risk-free rate of return is 3.68 percent and the market risk premium is 7.84 percent. What is
the expected rate of return on a stock with a beta of 1.32?
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9.17 percent
6406531967496.
13.12 percent
6406531967497.
14.03 percent
6406531967498.
14.36 percent
A published solution is not available for this question yet.
Phil's Carvings wants to have a weighted average cost of capital of 9.5 percent. The firm has an
after tax cost of debt of 6.5 percent and a cost of equity of 12.75 percent. What debt-equity ratio is
needed for the firm to achieve its targeted weighted average cost of capital?
6406531967499.
0.84
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0.92
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1.08
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0.76
A published solution is not available for this question yet.
Consider a credit card company analyzing its customer base to assess the risk of default on credit
card payments. The company wants to use the WoE technique to transform the "Income Level"
feature, which is a categorical variable with values "Low," "Medium," and "High," based on the
observed relationship with the target variable (default or non-default). After analyzing historical
data, the company finds that the WoE values for each income level are as follows:
● WoE for "Low" income level = -0.75
● WoE for "Medium" income level = 0.15
● WoE for "High" income level = -0.90
What does the negative WoE value for the "High" income level suggest in the context of credit risk
modeling?
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Customers with a high income level are less likely to default on credit card
payments.
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Customers with a high income level are more likely to default on credit card
payments.
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The "High" income level has no significant impact on the risk of default.
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WoE cannot be interpreted for categorical variables with more than two levels.
A published solution is not available for this question yet.
Suppose a bank is analyzing the credit risk of a group of borrowers over a period of four quarters
(Q1, Q2, Q3, and Q4). The bank uses the "roll forward rate" to assess the probability of default for
these borrowers during this time. The following table shows the number of borrowers in different
credit risk categories:
What does the roll forward rate indicate about the credit risk migration of borrowers from Q1 to
Q4?
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Borrowers with high credit risk in Q1 significantly improved their credit risk
status by Q4.
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The credit risk status of borrowers remained stable with no significant changes
over the quarters.
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Borrowers with low credit risk in Q1 are likely to have a higher probability of
default by Q4.
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The number of borrowers in each credit risk category decreased steadily over
the quarters.
A published solution is not available for this question yet.
A credit analyst is developing a credit risk model for a bank. The analyst is evaluating the "Credit
Score" feature, which represents the creditworthiness of borrowers. The analyst categorizes
borrowers into four groups based on their credit scores and examines the number of good and
bad loans in each group:
Calculate the Weight of Evidence (WoE) for the "Credit Score" feature for the "701-850" range.
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1.892
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2.303
6406531967540.
2.778
6406531967541.
3.171
A published solution is not available for this question yet.
In credit risk modeling, the Weight of Evidence (WoE) is used to:
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Measure the accuracy of a predictive model.
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Assess the total amount of information in a dataset.
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Evaluate the predictive power of a feature in distinguishing between default
and non-default cases.
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Calculate the proportion of good loans to bad loans in a dataset.
**PSM**
**Section Id :** 64065339865
**Section Number :** 9
**Section type :** Online
**Mandatory or Optional :** Mandatory
**Number of Questions :** 2
**Number of Questions to be attempted :** 2
**Section Marks :** 50
**Display Number Panel :** Yes
**Group All Questions :** No
**Enable Mark as Answered Mark for Review and**
Yes
**Clear Response :**
**Maximum Instruction Time :** 0
A published solution is not available for this question yet.
