How can a relational database help R handle memory issues?

$1$ point

Using a relational database with R has no impact on memory.

Running SQL queries in a relational database reduces memory demands in the R client.

Using a relational database increases memory use in R$.$

Loading all the data from the relational database into a dataframe reduces memory demands.

$2.$

Question $2$

Which R function saves a single data structure to a $.$Rda file?

$1$ point

saveRDS$()$

readRDS$()$

save$()$

save.image$()$

$3.$

Question $3$

A dataframe in R is like which of the following relational database concept?

$1$ point

Database

Column

Table

Schema

$4.$

Question $4$

When mapping data types between R and a database, you should consider converting which of the following to strings?

$1$ point

Factor

Date

Double

Logical

$5.$

Question $5$

When designing a database and making decisions, which potential issue is not helped by normalization?

$1$ point

Data redundancy

Lack of security

Transaction processing problems

Performance issues