Answer:
The problem that created due to the difference in the model of programming language and the database model.
Explanation:
The practical relational model has three components which are as follows
1. Attributes
2. Datatypes
3. Tuples
To minimize this problem
1. We switch low pass L-Network to high pass L-network
2. We switch high pass L-Network to low pass L-network
3. We use the impedence matching transformer
<span>select the New Slide option from the Insert menu</span>
Answer:
see explaination for program code
Explanation:
scalar_product = 0
li=[]
li2=[]
#reading numbers1.txt and numbers2.txt intoli and li2 respectively
with open('numbers1.txt') as n1, open('numbers2.txt') as n2:
for line1 in n1:
li.append(int(line1))
for line2 in n2:
li2.append(int(line2))
#storing min list size into variable l
a=len(li)
b=len(li2)
if a<b:
l=a
else:
l=b
#calculating scalar product
for i in range(l):
scalar_product=scalar_product+li[i]*li2[i]
print("scalar product is",scalar_product)
Answer:
c. Attribute constraints
Explanation:
A data catalog identifies all of the following, except: "Attribute constraints"
The above statement is TRUE because a Data Catalog, a metadata management service, operates by searching for key data, understand and manage data for usefulness.
Data Catalog checks on the BigQuery datasets, tables, and views and checks both technical and business metadata by identifying the following attributes:
1. Data type
2. Range of values
3. Value for Instructor ID
