DEA-C01 Practice Exam Questions and Answers

SnowPro Advanced: Data Engineer Certification Exam

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Total Questions : 65

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Question # 1

If external software i.e. TIBCO, exports Data fields enclosed in quotes but inserts a leading space before the opening quotation character for each field, How Snowflake handle it? [Select 2]

Options:

Snowflake automatically handles leading spaces by trimming implicitly & removes the quotation marks enclosing each field.

field_optionally_enclosed_by option along with TRIM_IF function in COPY INTO statement can be used to handle this scenario successfully.

Snowflake reads the leading space rather than the opening quotation character as the beginning of the field and the quotation characters are interpreted as string data.

(Correct)

COPY command trims the leading space and removes the quotation marks enclosing each field

1.copy into SFtable

2.from @%SFtable

3.file_format = (type = csv trim_space=true field_optionally_enclosed_by = '0x22');

Discussion 0

Question # 2

Pascal, a Data Engineer, have requirement to retrieve the 10 most recent executions of a specified task (completed, still running, or scheduled in the future) scheduled within the last hour, which of the following is the correct SQL Code ?

Options:

1.select *

2.from table(information_schema.task_history(

3.scheduled_time_range_start=>dateadd('hour',-1,current_timestamp()),

4.result_limit => 10,

5.task_name=>'MYTASK') WHERE query_id IS NOT NULL);

1.select *

2.from table(information_schema.task_history(

3.scheduled_time_range_start=>dateadd('hour',-1,current_timestamp()),

4.result_limit => 11,

5.task_name=>'MYTASK') WHERE query_id IS NOT NULL);

1.select *

2.from table(information_schema.task_history(

3.scheduled_time_range_start=>dateadd('hour',-1,current_timestamp()),

4.result_limit => 10,query_id IS NOT NULL

5.task_name=>'MYTASK'));

1.select *

2.from table(information_schema.task_history(

3.scheduled_time_range_start=>dateadd('hour',-1,current_timestamp()),

4.result_limit => 10,

5.task_name=>'MYTASK'));

Discussion 0

Question # 3

A SQL UDF evaluates an arbitrary SQL expression and returns the result(s) of the expression. Which value type it can returns?

Options:

Single Value

A Set of Rows

Scaler or Tabular depend on input SQL expression

Regex

Discussion 0

Question # 4

As a Data Engineer, you have requirement to query most recent data from the Large Dataset that reside in the external cloud storage, how would you design your data pipelines keeping in mind fastest time to delivery?

Options:

Data pipelines would be created to first load data into internal stages & then into Per-manent table with SCD Type 2 transformation.

Direct Querying External tables on top of existing data stored in external cloud storage for analysis without first loading it into Snowflake.

Unload data into SnowFlake Internal data storage using PUT command.

Snowpipe can be leveraged with streams to load data in micro batch fashion with CDC streams that capture most recent data only.

External tables with Materialized views can be created in Snowflake.

Discussion 0

Question # 5

Snowflake web interface can be used to create users with no passwords or remove passwords from existing users?

Options:

TRUE

FALSE

Discussion 0

Question # 6

External Function is a type of UDF & can be Scaler or Tabular?

Options:

TRUE

FALSE

Discussion 0

Question # 7

Mark a Data Engineer, looking to implement streams on local views & want to use change tracking metadata for one of its Data Loading use case. Please select the incorrect understanding points of Mark with respect to usage of Streams on Views?

Options:

For streams on views, change tracking must be enabled explicitly for the view and un-derlying tables to add the hidden columns to these tables.

The CDC records returned when querying a stream rely on a combination of the offset stored in the stream and the change tracking metadata stored in the table.

Views with GROUP BY & LIMIT Clause are supported by Snowflake.

As an alternative to streams, Snowflake supports querying change tracking metadata for views using the CHANGES clause for SELECT statements.

Enabling change tracking adds a pair of hidden columns to the table and begins storing change tracking metadata. The values in these hidden CDC data columns provide the input for the stream metadata columns. The columns consume a small amount of stor-age.

Discussion 0

Question # 8

While working with Multi Cluster Warehouses, Select the incorrect understanding of Data Engineer about its usage?

Options:

Multi-cluster warehouses are designed specifically for handling queuing and perfor-mance issues related to large numbers of concurrent users and/or queries.

Unless you have a specific requirement for running in Maximized mode, multi-cluster warehouses should be configured to run in Auto-scale mode, which enables Snowflake to automatically start and stop clusters as needed.

When choosing the minimum number of clusters for a multi-cluster warehouse keep the default value as 1.

Multi-cluster warehouses generally improve query performance, particularly for larger, more complex queries.

When choosing the maximum number of clusters for a multi-cluster warehouse set its value as large as possible.

Discussion 0

Question # 9

David, a Lead Data engineer with XYZ company looking out to improve query performance & oth-er benefits while working with Tables, Regular Views, MVs and Cached Results.

Which one of the following does not shows key similarities and differences between tables, regular views, cached query results, and materialized views while choosing any of them by David?

Options:

Regular views do not cache data, and therefore cannot improve performance by cach-ing.

As with non-materialized views, a materialized view automatically inherits the privileges of its base table.

Cached Query Results: Used only if data has not changed and if query only uses de-terministic functions (e.g. not CURRENT_DATE).

Materialized views are faster than tables because of their “cache” (i.e. the query results for the view); in addition, if data has changed, they can use their “cache” for data that hasn’t changed and use the base table for any data that has changed.

Both materialized views and regular views enhance data security by allowing data to be exposed or hidden at the row level or column level.

Discussion 0

Question # 10

Which UDF programming language is not supported with Snowflake Secure Data Sharing feature?

Options:

SQL

JAVA

JAVASCRIPT

PYTHON

Discussion 0

Question # 11

Data Engineer Loading File named snowdata.tsv in the /datadir directory from his local machine to Snowflake stage and try to prefix the file with a folder named tablestage, please mark the correct command which helps him to load the files data into snowflake internal Table stage?

Options:

put file://c:\datadir\snowdata.tsv @~/tablestage;

put file://c:\datadir\snowdata.tsv @%tablestage;

put file://c:\datadir\snowdata.tsv @tablestage;

put file:///datadir/snowdata.tsv @%tablestage;

Discussion 0

Question # 12

Snowflake does not provide which of following set of SQL functions to support retrieving infor-mation about tasks?

Options:

SYSTEM$CURRENT_USER_TASK_NAME

TASK_HISTORY

TASK_DEPENDENTS

TASK_QUERY_HISTORY

SYSTEM$TASK_DEPENDENTS_ENABLE

Discussion 0

Question # 13

Select the incorrect statement while working with warehouses?

Options:

Compute resources waiting to shut down are considered to be in “quiesce” mode.

Resizing a warehouse to a larger size is useful while loading and unloading significant amounts of data.

Resizing a warehouse will have any immediate impact on statements that are currently being executed by the warehouse.

Resizing a suspended warehouse does not provision any new compute resources for the warehouse.

Discussion 0

Question # 14

UDTFs also called a table function, returns zero, one, or multiple rows for each input row?

Options:

YES

Discussion 0

Question # 15

Stuart, a Lead Data Engineer in MACRO Data Company created streams on set of External tables. He has been asked to extend the data retention period of the stream for 90 days, which parameter he can utilize to enable this extension?

Options:

MAX_DATA_EXTENSION_TIME_IN_DAYS

DATA_RETENTION_TIME_IN_DAYS

DATA_EXTENSION_TIME_IN_DAYS

None of the above

Discussion 0

Question # 16

Snowflake supports using key pair authentication for enhanced authentication security as an alterna-tive to basic authentication (i.e. username and password). Select the list of SnowFlake Clients sup-port the same? [Select All that Apply]

Options:

Go Driver

Node.js

SnowFlake Connector for Spark

SnowSQL

SnowCD

Discussion 0

Question # 17

Find out the odd one out:

Options:

1. Bulk Data Load: Loads are always performed in a single transaction.

2. SnowPipe: Loads are combined or split into a single or multiple transactions based on the number and size of the rows in each data file.

1. Bulk Data Load: Requires a user-specified warehouse to execute COPY statements.

2. SnowPipe: Uses Snowflake-supplied compute resources.

1. Bulk Data Load: Billed for the amount of time each virtual warehouse is active.

2. SnowPipe: Billed according to the compute resources used in the Snowpipe ware-house while loading the files.

1. Bulk Data Load: Load history Stored in the metadata of the target table for 365 days.

2. SnowPipe: Load history Stored in the metadata of the pipe for 64 days.

Discussion 0

Question # 18

Bob, a Lead Data Engineer is looking out to get the function definition & queried below statement to check if this function is secure enough to use in his script or not.

select is_secure from information_schema.functions where function_name = 'JOHNFUNCTION';

From the query output he is sure that, Function is secure UDF, what are the way provided by snow-flake to get the function definition of secure UDF?

Options:

He can get the secure UDF definition using GET_DDL utility function.

UDF definition or text, is visible to users via Query Profile (in the web interface).

SHOW FUNCTIONS Commands

Declaring a UDF as “secure” hide the definition from Bob & all the required Definition commands will throw error.

Discussion 0

Question # 19

Data Engineer, ran the below clustering depth analysis function:

select system$clustering_depth('TPCH_CUSTOMERS', '(C1, C6)', 'C9 = 30');

on TPCH_CUSTOMERS table, will return which of the following?

Options:

An error: this function does not accept lists of columns as a third parameter.

An error: this function does not accept predicates ('C9 = 30') as parameter.

Calculate the clustering depth for a table using mentioned columns in the table.

Calculate the clustering depth for a table using the clustering key defined for the table.

Discussion 0

Question # 20

Which privilege are required on an object (i.e. user or role) with USERADMIN Role can modify the object properties?

Options:

OPEARTE

MANAGE GRANTS

OWNERSHIP

MODIFY

Discussion 0

Question # 21

How Data Engineer can do Monitoring of Files which are Staged Internally during Continuous data pipelines loading process? [Select all that apply]

Options:

She Can Monitor the files using Metadata maintained by Snowflake i.e. file-name,last_modified date etc.

Snowflake retains historical data for COPY INTO commands executed within the pre-vious 14 days.

She can Monitor the status of each COPY INTO

command on the History tab page of the classic web interface.

She can use the DATA_LOAD_HISTORY Information Schema view to retrieve the history of data loaded into tables using the COPY INTO command.

She can use the DATA_VALIDATE function to validate the data files She have loaded and can retrieve any errors encountered during the load.

Discussion 0

command on the History tab page of the classic web interface.

· Use the VALIDATE function to validate the data files you’ve loaded and retrieve any errors en-countered during the load.

· Use the LOAD_HISTORY Information Schema view to retrieve the history of data loaded into tables using the COPY INTO command.

Question # 22

Melissa, Senior Data Engineer, looking out to optimize query performance for one of the Critical Control Dashboard, she found that most of the searches by the users on the control dashboards are based on Equality search on all the underlying columns mostly. Which Best techniques she should consider here?

Options:

She can go for clustering on underlying tables which can speedup Equality searches.

A materialized view speeds both equality searches and range searches.

The search optimization service would best fit here as it can be applied to all underlying columns & speeds up equality searches.

(Correct)

Melissa can create Indexes & Hints on the searchable columns to speed up Equality search.

Discussion 0

Question # 23

Ryan, a Data Engineer, accidently drop the Share named SF_SHARE which results in immediate access revoke for all the consumers (i.e., accounts who have created a database from that SF_SHARE). What action he can take to recover the dropped Share?

Options:

By Executing UNDROP command he could possibly recover the dropped Share SF_SHARE & its associated Databases for immediate consumer access.

He can recreate a share with the same name as a previous share which does restore the databases created (by any consumers) from the share SF_SHAR

A dropped share cannot be restored. The share must be created again using the CRE-ATE SHARE command and then configured using GRANT … TO SHARE and ALTER SHAR

Consumer accounts that have created databases from the share will still be able to que-ry these databases as Share is separate securable object & it’s still accessible using time travel feature.

Discussion 0

Question # 24

To view/monitor the clustering metadata for a table, Snowflake provides which of the following system functions?

Options:

SYSTEM$CLUSTERING_DEPTH_KEY

SYSTEM$CLUSTERING_KEY_INFORMATION (including clustering depth)

SYSTEM$CLUSTERING_DEPTH

SYSTEM$CLUSTERING_INFORMATION (including clustering depth)

Discussion 0

Question # 25

Select the Incorrect statement about External Functions in SnowFlake?

Options:

An external function is a type of UD

An external function does not contain its own code; instead, the external function calls code that is stored and executed outside Snowflake.

Inside Snowflake, the external function is stored as a API Integration object.

Inside Snowflake, the external function is stored as a database object that contains in-formation that Snowflake uses to call the remote service.

Discussion 0

Question # 26

Which Function would Data engineer used to recursively resume all tasks in Chain of Tasks rather than resuming each task individually (using ALTER TASK … RESUME)?

Options:

SYSTEM$TASK_DEPENDENTS

SYSTEM$TASK_DEPENDENTS_ENABLE

SYSTEM$TASK_DEPENDENTS_RESUME

SYSTEM$TASK_RECURSIVE_ENABLE

Discussion 0

Question # 27

The Snowpipe API provides REST endpoints for fetching load reports. One of the Endpoint named insertReport helps to retrieves a report of files submitted via insertFiles end point whose contents were recently ingested into a table. A success response (200) contains information about files that have recently been added to the table. Response Looks like below:

1.{

2."pipe": "SNOWTESTD

SFTESTSCHEM

SFpipe",

3."completeResult": true,

4."nextBeginMark": "1_16",

5."files": [

6.{

7."path": "data4859992083898.csv",

8."stageLocation": "s3://mybucket/",

9."fileSize": 89,

10."timeReceived": "2022-01-31T04:47:41.453Z",

11."lastInsertTime": "2022-01-31T04:48:28.575Z",

12."rowsInserted": 1,

13."rowsParsed": 1,

14."errorsSeen": 0,

15."errorLimit": 1,

16."complete": true,

17."status": "????"

18.}

19.]

20.}

Which one is the correct value of status string data in the Response Body?

Options:

LOADED

LOADED_SUCCESS

LOAD_SUCCESS

SUCCESS

Discussion 0

Question # 28

Changing the retention period for your account or individual objects changes the value for all lower-level objects that do not have a retention period explicitly set?

Options:

TRUE

FALSE

Discussion 0

Question # 29

Which of the following security and governance tools/technologies are known to provide native connectivity to Snowflake? [Select 2]

Options:

ALTR

Baffle

BIG Squid

Dataiku

Zepl

Discussion 0

Question # 30

As Data Engineer, you have requirement to Load set of New Product Files containing Product rele-vant information into the Snowflake internal tables, Later you analyzed that some of the Source files are already loaded in one of the historical batch & for that you have prechecked Metadata col-umn LAST_MODIFIED date for a staged data file & found out that LAST_MODIFIED date is older than 64 days for few files and the initial set of data was loaded into the table more than 64 days earlier, Which one is the best approach to Load Source data files with expired load metadata along with set of files whose metadata might be available to avoid data duplication?

Options:

Since the initial set of data for the table (i.e. the first batch after the table was created) was loaded, we can simply use the COPY INTO command to load all the product files with the known load status irrespective of their column LAST_MODIFIED date values.

The COPY command cannot definitively determine whether a file has been loaded al-ready if the LAST_MODIFIED date is older than 64 days and the initial set of data was loaded into the table more than 64 days earlier (and if the file was loaded into the table, that also occurred more than 64 days earlier). In this case, to prevent accidental reload, the command skips the product files by default.

Set the FORCE option to load all files, ignoring load metadata if it exists.

To load files whose metadata has expired, set the LOAD_UNCERTAIN_FILES copy option to true.

Discussion 0

Question # 31

Which of the following System keeps the following characteristics?

a. It will keep in it all the raw data.

b. Generally, the users of it is data scientists and data developers.

c. Flat architecture

d. Highly agile

Options:

Data Warehouse

Data Mart

Data Lake

Data Hub

Discussion 0

Question # 32

Mark the Incorrect Statements with respect to types of streams supported by Snowflake?

Options:

Standard streams cannot retrieve update data for geospatial data.

An append-only stream returns the appended rows only and therefore can be much more performant than a standard stream for extract, load, transform (ELT).

Insert-only Stream supported on external tables only.

An insert-only stream tracks row inserts & Delete ops only

Discussion 0

Question # 33

Data Engineer looking out for quick tool for understanding the mechanics of queries & need to know more about the performance or behaviour of a particular query.

He should go to which feature of snowflake which can help him to spot typical mistakes in SQL query expressions to identify potential performance bottlenecks and improvement opportunities?

Options:

Query Optimizer

Performance Metadata table

Query Profile

Query Designer

Discussion 0

Question # 34

Which Scenario Data engineer decide Materialized views are not useful. Select All that apply.

Options:

Query results contain a small number of rows and/or columns relative to the base table (the table on which the view is defined).

Query results contain results that require significant processing.

The query is on an external table (i.e. data sets stored in files in an external stage), which might have slower performance compared to querying native database tables.

The view’s base table change frequently.

Discussion 0

Question # 35

Select the Correct statements with regard to using Federated authentication/SSO?

Options:

Snowflake supports using MFA in conjunction with SSO to provide additional levels of security.

Snowflake supports multiple audience values (i.e. Audience or Audience Restriction Fields) in the SAML 2.0 assertion from the identity provider to Snowflake.

Snowflake supports SSO with Private Connectivity to the Snowflake Service for Snow-flake accounts on Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform.

Snowflake supports using SSO with organizations, and you can use the corresponding URL in the SAML2 security integration.

Discussion 0

Question # 36

If you need to connect to Snowflake using a BI tool or technology, which of the following BI tools and technologies are known to provide native connectivity to Snowflake?

Options:

SISENSE

SELECT STAR

ALATION

PROTEGRITY

Discussion 0

Question # 37

Can Masking policies be applied to virtual columns?

Options:

TRUE

FALSE

Discussion 0

Question # 38

Clones can be cloned, with no limitations on the number or iterations of clones that can be created (e.g. you can create a clone of a clone of a clone, and so on), which results in a n-level hierarchy of cloned objects, each with their own portion of shared and independent data storage?

Options:

TRUE

FALSE

Discussion 0

Question # 39

For the most efficient and cost-effective Data load experience, Data Engineer needs to inconsider-ate which of the following considerations?

Options:

Split larger files into a greater number of smaller files, maximize the processing over-head for each file.

(Correct)

Enabling the STRIP_OUTER_ARRAY file format option for the COPY INTO command to remove the outer array structure and load the records into separate table rows.

Amazon Kinesis Firehose can be convenient way to aggregate and batch data files which also allows defining both the desired file size, called the buffer size, and the wait interval after which a new file is sent, called the buffer interval.

When preparing your delimited text (CSV) files for loading, the number of columns in each row should be consistent.

if the “null” values in your files indicate missing values and have no other special mean-ing, Snowflake recommend setting the file format option STRIP_NULL_VALUES to TRUE when loading the semi-structured data file.

Discussion 0

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