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NEW QUESTION # 21
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?
Answer: C
Explanation:
Explanation
Clustering a table can speed any of the following, as long as they are on the clustering key:
Range searches.
Equality searches.
However, a table can be clustered on only a single key (which can contain one or more columns or expressions).
The search optimization service speeds equality searches. However, this applies to all the columns of supported types in a table that has search optimization enabled. This is what required here& best fit for purpose.
A materialized view speeds both equality searches and range searches, as well as some sort opera-tions, but only for the subset of rows and columns included in the materialized view.
NEW QUESTION # 22
A retail company uses AWS Glue for extract, transform, and load (ETL) operations on a dataset that contains information about customer orders. The company wants to implement specific validation rules to ensure data accuracy and consistency.
Which solution will meet these requirements?
Answer: B
Explanation:
Custom AWS Glue Data Quality rulesets allow you to define precise data quality checks tailored to your specific needs, ensuring that the data meets the required standards of accuracy and consistency. This approach provides flexibility to implement a wide range of validation rules based on your business requirements.
NEW QUESTION # 23
A company uses a variety of AWS and third-party data stores. The company wants to consolidate all the data into a central data warehouse to perform analytics. Users need fast response times for analytics queries.
The company uses Amazon QuickSight in direct query mode to visualize the data. Users normally run queries during a few hours each day with unpredictable spikes.
Which solution will meet these requirements with the LEAST operational overhead?
Answer: B
Explanation:
Amazon Redshift Serverless is ideal for this scenario as it provides a fully managed, serverless data warehouse solution with high performance for analytics queries. Key reasons why it meets the requirements with the least operational overhead:
Serverless Configuration: Redshift Serverless automatically scales capacity based on query demand, making it well-suited for unpredictable spikes in usage without requiring manual adjustments.
Managed Storage (RMS): Loading data into Amazon Redshift managed storage provides optimized storage for analytics and integrates with Amazon QuickSight for fast query performance in direct query mode.
Cost-Effective and Low Management: Since the data warehouse is only actively used for a few hours daily, Redshift Serverless provides a cost- effective option by scaling resources dynamically, which eliminates the need to manage and pay for idle infrastructure.
NEW QUESTION # 24
A company uses Amazon RDS for MySQL as the database for a critical application. The database workload is mostly writes, with a small number of reads.
A data engineer notices that the CPU utilization of the DB instance is very high. The high CPU utilization is slowing down the application. The data engineer must reduce the CPU utilization of the DB Instance.
Which actions should the data engineer take to meet this requirement? (Choose two.)
Answer: A,B
NEW QUESTION # 25
Snowflake computes and adds partitions based on the defined partition column expressions when an external table metadata is refreshed.
What are the Correct Statements to configure Partition metadata refresh in case of External Tables?
Answer: D,E
Explanation:
Explanation
Snowflake strongly recommend partitioning your external tables, which requires that your underly-ing data is organized using logical paths that include date, time, country, or similar dimensions in the path.
Partitioning divides your external table data into multiple parts using partition columns.
An external table definition can include multiple partition columns, which impose a multi-dimensional structure on the external data.
Partitions are stored in the external table metadata.
Benefits of partitioning include improved query performance.
Because the external data is partitioned into separate slices/parts, query response time is faster when processing a small part of the data instead of scanning the entire data set.
Based on your individual use cases, you can either:
Add new partitions automatically by refreshing an external table that defines an expression for each partition column.
Add new partitions manually.
Partition columns are defined when an external table is created, using the CREATE EXTERNAL TABLE ...
PARTITION BY syntax.
After an external table is created, the method by which partitions are added cannot be changed.
Partitions Added Automatically
An external table creator defines partition columns in a new external table as expressions that parse the path and/or filename information stored in the METADATA$FILENAME pseudocolumn.
A partition consists of all data files that match the path and/or filename in the expression for the partition column.
The CREATE EXTERNAL TABLE syntax for adding partitions automatically based on expres-sions is as follows:
CREATE EXTERNAL TABLE
<table_name>
( <part_col_name> <col_type> AS <part_expr> )
[ , ... ]
[ PARTITION BY ( <part_col_name> [, <part_col_name> ... ] ) ]
Snowflake computes and adds partitions based on the defined partition column expressions when an external table metadata is refreshed.
By default, the metadata is refreshed automatically when the object is created.
In addition, the object owner can configure the metadata to refresh automatically when new or up-dated data files are available in the external stage.
The owner can alternatively refresh the metadata manually by executing the ALTER EXTERNAL TABLE ...
REFRESH command.
The metadata for an external table can be refreshed automatically using the event notification ser-vice for your cloud storage service.
NEW QUESTION # 26
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